Movies Anywhere (MA) is seeking a Data Scientist to oversee the design, build, and testing of formulas for complex metrics/KPIs, (Lifetime Value, Cost Per Registered User, Retention/Engagement), machine learning methods, and analytics models to support the Movies Anywhere team. This position will report to the Director of Analytics for MA. The goal of this team is to create a competitive advantage for MA using data. The Data Scientist will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. The role will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.
Responsibilities:
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
Contribute to product features like offers, personalization, and recommender by analyzing complex data sets and developing algorithms to produce results that increase customer engagement.
Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Basic Qualifications:
5 or more years relevant experience with a proven track record of leveraging analytics to drive significant business impact
Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
Proficiency with a statistical analysis tool such as R and/or Python
Relational, no-SQL, and/or columnar data experience
Experience with SQL
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Proven track record in meeting aggressive deadlines
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Machine learning experience
Statistical knowledge and intuition - ideally utilized in A/B testing
Experience with distributed databases and query languages like Spark and Scala
Programming experience with a scripting language such as Python, Perl, Java, or Ruby
PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Required Education:
Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
Preferred Education:
PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
May 17, 2019
Full-time
Movies Anywhere (MA) is seeking a Data Scientist to oversee the design, build, and testing of formulas for complex metrics/KPIs, (Lifetime Value, Cost Per Registered User, Retention/Engagement), machine learning methods, and analytics models to support the Movies Anywhere team. This position will report to the Director of Analytics for MA. The goal of this team is to create a competitive advantage for MA using data. The Data Scientist will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. The role will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.
Responsibilities:
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
Contribute to product features like offers, personalization, and recommender by analyzing complex data sets and developing algorithms to produce results that increase customer engagement.
Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Basic Qualifications:
5 or more years relevant experience with a proven track record of leveraging analytics to drive significant business impact
Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
Proficiency with a statistical analysis tool such as R and/or Python
Relational, no-SQL, and/or columnar data experience
Experience with SQL
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Proven track record in meeting aggressive deadlines
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Machine learning experience
Statistical knowledge and intuition - ideally utilized in A/B testing
Experience with distributed databases and query languages like Spark and Scala
Programming experience with a scripting language such as Python, Perl, Java, or Ruby
PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Required Education:
Bachelor's degree in Statistics, Mathematics, Operations Research, Econometrics or related field
Preferred Education:
PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
The AVP Data Science is responsible for implementing the design, development, deployment and maintenance of data based models and analysis. Leads a group of Data Scientists that are responsible for mining and analyzing complex datasets using advanced statistical methods for use in data driven decision making. The AVP Data Science leads in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The AVP is the subject matter expert on performance through an in depth knowledge of quantitative methods and diligent knowledge of data sources.
This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives.
Job Duties
Leads in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business.
Builds technical knowledge to support research and analytic responsibilities
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Provides findings and analysis for use in decision making.
Ensures that the delivered products meet the business needs of the company.
Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership.
Perform other duties as assigned
Conform with all corporate policies and procedures
Skills
MS Office required.
Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management
Ability to identify and seek needed information/research skills.
Analytical thinking skills
Ability to interact collaboratively with internal and external customers
Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
Problem/situation analysis
Provides leadership, coaching, and/or mentoring to Data Scientists
Experience Required
7+ years experience in modeling required
2+ years experience in management or comparable leadership role
Experience presenting highly complex analysis to upper management required
Python, R, and SAS programming required
May 08, 2019
Full-time
The AVP Data Science is responsible for implementing the design, development, deployment and maintenance of data based models and analysis. Leads a group of Data Scientists that are responsible for mining and analyzing complex datasets using advanced statistical methods for use in data driven decision making. The AVP Data Science leads in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The AVP is the subject matter expert on performance through an in depth knowledge of quantitative methods and diligent knowledge of data sources.
This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives.
Job Duties
Leads in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business.
Builds technical knowledge to support research and analytic responsibilities
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Provides findings and analysis for use in decision making.
Ensures that the delivered products meet the business needs of the company.
Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership.
Perform other duties as assigned
Conform with all corporate policies and procedures
Skills
MS Office required.
Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management
Ability to identify and seek needed information/research skills.
Analytical thinking skills
Ability to interact collaboratively with internal and external customers
Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
Problem/situation analysis
Provides leadership, coaching, and/or mentoring to Data Scientists
Experience Required
7+ years experience in modeling required
2+ years experience in management or comparable leadership role
Experience presenting highly complex analysis to upper management required
Python, R, and SAS programming required
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Sr. Data Analyst, Product and Marketing, with a strong business acumen and the technical skills necessary to uncover and present insights for the product and marketing teams of Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies.
High level summary:
The Sr. Data Analyst, Product and Marketing, will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses and generate insights that the product and marketing teams can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have significant influence in the direction of the product in the years to come.
Responsibilities:
Day-to-day:
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Build and deliver executive-level presentations to both the internal executive team and members of the participating studios advisory counsel
Mentor junior analyst(s), in both technical areas (SQL, Tableau, etc.) and business areas (building and delivering presentations, communicating insights to executives, etc.)
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications:
What we are looking for:
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine data from different sources to understand our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Executive presence - you will be “in the room” for some high-level meetings that determine the future of the product, and you will be expected to provide information or an opinion or recommendation
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications:
What Will Give You a Leg Up:
MBA – this is very close to a requirement for the position. Truthfully, the business/problem-solving/communication skills are more important in the long run for this position, but the technical skills are necessary to hit the ground running.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
Required Education:
Bachelor Degree
Preferred Education:
MBA or Masters in related field
May 03, 2019
Full-time
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Sr. Data Analyst, Product and Marketing, with a strong business acumen and the technical skills necessary to uncover and present insights for the product and marketing teams of Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies.
High level summary:
The Sr. Data Analyst, Product and Marketing, will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses and generate insights that the product and marketing teams can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have significant influence in the direction of the product in the years to come.
Responsibilities:
Day-to-day:
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Build and deliver executive-level presentations to both the internal executive team and members of the participating studios advisory counsel
Mentor junior analyst(s), in both technical areas (SQL, Tableau, etc.) and business areas (building and delivering presentations, communicating insights to executives, etc.)
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications:
What we are looking for:
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine data from different sources to understand our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Executive presence - you will be “in the room” for some high-level meetings that determine the future of the product, and you will be expected to provide information or an opinion or recommendation
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications:
What Will Give You a Leg Up:
MBA – this is very close to a requirement for the position. Truthfully, the business/problem-solving/communication skills are more important in the long run for this position, but the technical skills are necessary to hit the ground running.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
Required Education:
Bachelor Degree
Preferred Education:
MBA or Masters in related field
American Transportation Research Institute
Atlanta, GA, USA
The American Transportation Research Institute (ATRI), a national leader in transportation research, seeks an experienced Research Associate for its Atlanta, GA office.
The Research Associate conducts qualitative and quantitative research and analysis on critical transportation topics through primary and secondary research and data analysis. Additionally, the Research Associate will work with ATRI staff to manage multiple research contracts and projects, and interact with a variety of industry and government stakeholders.
Candidate must have a Bachelor’s Degree in in planning, civil engineering, industrial engineering, policy analysis, economics, statistics, or a related field plus 3-5 years of technical experience; a Master’s Degree is preferred. Experience with large datasets and an ability to program in R, Python and/or similar languages is preferred, as is experience with GIS software.
Candidates Must Have:
Excellent technical writing and verbal communication skills
Proficiency in MS Office and Internet research skills
Ability to read and understand industry-related publications
Ability to interact with various individuals on an interpersonal basis
Ability to prioritize multiple tasks for multiple, diverse projects, in order to meet deadlines in a timely manner.
Travel:
Approximately 10% travel is required.
Benefits:
ATRI prides itself on providing its employees with a robust health and leave benefits. Our benefits include an HRA medical plan, PPO dental and vision plans, and flexible spending accounts. Additionally, we offer 12 days of paid vacation, 12 paid sick days, paid personal days, and 13 paid holidays. ATRI also offers a 401(k) plan with an employer match.
To Apply:
Please click Apply Now on icrunchdata, attach your resume along with message, and submit your application. Join an organization rich in history dedicated to the advancement of the trucking industry. This position is in the Atlanta, GA metro area. Applicants who do not include the required information will not be considered. EOE/AA
May 01, 2019
Full-time
The American Transportation Research Institute (ATRI), a national leader in transportation research, seeks an experienced Research Associate for its Atlanta, GA office.
The Research Associate conducts qualitative and quantitative research and analysis on critical transportation topics through primary and secondary research and data analysis. Additionally, the Research Associate will work with ATRI staff to manage multiple research contracts and projects, and interact with a variety of industry and government stakeholders.
Candidate must have a Bachelor’s Degree in in planning, civil engineering, industrial engineering, policy analysis, economics, statistics, or a related field plus 3-5 years of technical experience; a Master’s Degree is preferred. Experience with large datasets and an ability to program in R, Python and/or similar languages is preferred, as is experience with GIS software.
Candidates Must Have:
Excellent technical writing and verbal communication skills
Proficiency in MS Office and Internet research skills
Ability to read and understand industry-related publications
Ability to interact with various individuals on an interpersonal basis
Ability to prioritize multiple tasks for multiple, diverse projects, in order to meet deadlines in a timely manner.
Travel:
Approximately 10% travel is required.
Benefits:
ATRI prides itself on providing its employees with a robust health and leave benefits. Our benefits include an HRA medical plan, PPO dental and vision plans, and flexible spending accounts. Additionally, we offer 12 days of paid vacation, 12 paid sick days, paid personal days, and 13 paid holidays. ATRI also offers a 401(k) plan with an employer match.
To Apply:
Please click Apply Now on icrunchdata, attach your resume along with message, and submit your application. Join an organization rich in history dedicated to the advancement of the trucking industry. This position is in the Atlanta, GA metro area. Applicants who do not include the required information will not be considered. EOE/AA
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a management role leading team members (cast and contractor) working on multiple initiatives within the Forecast Analytics (FA) portfolio of projects, supporting multiple park locations.
Responsibilities:
This position will be responsible for planning, resource/task assignments, work effort tracking, partnering with MSI, Decision Science and Technology team members, design/code reviews, executive reporting and representing the DI team at project meetings.
This role will lead a team responsible for various activities around data validation, data aggregation for Science Models, periodic data batch processing, and ad-hoc activities required by the projects.
This DI development and sustainment team primarily leverages SQL, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive in their work efforts.
Basic Qualifications:
5+ years’ experience leading development teams – task planning, level of effort definition, resource assignments and task management
3+ years’ experience and proficiency in SQL (on a variety of database platforms)
Experience and proficiency with data visualization tools (e.g. Tableau)
Solid understanding of Python, Spark, and Hadoop/Hive
Solid understanding of AWS
Solid understanding ETL and ELT tools and processes
Strong analytical skills in data analysis
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Knowledge of software design lifecycle data
Preferred Qualifications:
Hands-on development experience with Python, Hadoop/Hive, and Spark
Hands-on experience leveraging PySpark, SparkSQL for data processing
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience with Github/Gitlab for code versioning and promotion
Experience with Docker for software deployment
Required Education:
Bachelor or Master’s degree with specialization in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
May 15, 2019
Full-time
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a management role leading team members (cast and contractor) working on multiple initiatives within the Forecast Analytics (FA) portfolio of projects, supporting multiple park locations.
Responsibilities:
This position will be responsible for planning, resource/task assignments, work effort tracking, partnering with MSI, Decision Science and Technology team members, design/code reviews, executive reporting and representing the DI team at project meetings.
This role will lead a team responsible for various activities around data validation, data aggregation for Science Models, periodic data batch processing, and ad-hoc activities required by the projects.
This DI development and sustainment team primarily leverages SQL, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive in their work efforts.
Basic Qualifications:
5+ years’ experience leading development teams – task planning, level of effort definition, resource assignments and task management
3+ years’ experience and proficiency in SQL (on a variety of database platforms)
Experience and proficiency with data visualization tools (e.g. Tableau)
Solid understanding of Python, Spark, and Hadoop/Hive
Solid understanding of AWS
Solid understanding ETL and ELT tools and processes
Strong analytical skills in data analysis
Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience
Experience and proficiency in requirements elicitation and documentation for data processing
Experience and proficiency in developing data validation test scenarios and scripts
Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities
Knowledge of software design lifecycle data
Preferred Qualifications:
Hands-on development experience with Python, Hadoop/Hive, and Spark
Hands-on experience leveraging PySpark, SparkSQL for data processing
Experience with project management tools, including Smartsheet and Version 1
Hands-on experience interacting with Technology teams to promote code across multiple environments
Experience with Github/Gitlab for code versioning and promotion
Experience with Docker for software deployment
Required Education:
Bachelor or Master’s degree with specialization in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. ​ The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise.
Responsibilities:
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications:
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education:
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education:
Master’s degree in Computer Science or Business Administration or similar is preferred.
May 09, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. ​ The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise.
Responsibilities:
Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications:
First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Minimum 2 years of management experience
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education:
Bachelor’s degree in Computer Science or Business Administration or similar is required.
Preferred Education:
Master’s degree in Computer Science or Business Administration or similar is preferred.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. The Big Data Analyst will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise.
Responsibilities:
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications:
First-hand experience – Have 6+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education:
Bachelor’s degree in Computer Science or related field is preferred.
Preferred Education:
Master’s degree in Computer Science or related field is preferred.
May 09, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. The Big Data Analyst will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise.
Responsibilities:
Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products.
Selecting methods for performing advanced data analysis.
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python.
Document logic in order to help engineering team to implement them.
Build statistical models using tools specified above.
Clearly communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process.
Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company.
Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed.
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Processing, cleansing and verifying the integrity of data used for analysis
Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups.
Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team.
Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
Basic Qualifications:
First-hand experience – Have 6+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Visionary - Solid understanding of big data and how an organization will be able build data driven products.
Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar.
Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users.
Problem solver – Enjoy solving complex business problem using deep data analysis.
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Expert knowledge of a common big data tools such as SQL, Hive, Hadoop
Expert level knowledge in at least one programming language such as python, R, Scala, Java.
Experience in working with large datasets (Terabytes or more)
Ability to operate effectively in a team-oriented and collaborative environment.
Excellent communication skills and ability to interact with all levels of end users and technical resources
Creative thinking and motivated self-starter
Preferred Qualifications:
Experience with machine learning models.
Data and analytics/measurement experience in digital or mobile app environment preferred.
Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus.
Required Education:
Bachelor’s degree in Computer Science or related field is preferred.
Preferred Education:
Master’s degree in Computer Science or related field is preferred.
The Senior Manager, Business Insights will be a driver and partner for analytics across the Disney Streaming Services business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. They should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. They must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to: product analytics, customer analytics, marketing analytics, new product releases, etc.. They should also be able to communicate key objectives and analytical findings to internal stakeholders and across Disney; to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Data, Product and Engineering teams to understand business drivers and synthesize information
Lead measurement and data aggregation for multiple data sources
Create data sets and collect subscription, watch, and clickstream data for KPI tracking
Support various reporting needs via dashboards - including marketing performance and ROI from campaign analytics; subscription business including acquisition of new consumers, engagement and retention
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of the organization
Basic Qualifications:
5+ years of experience in an analysis, market research or consulting role
3+ years of experience managing a team
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Experience in measuring marketing campaign effectiveness, defining and tracking KPIs.
Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
May 05, 2019
Full-time
The Senior Manager, Business Insights will be a driver and partner for analytics across the Disney Streaming Services business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. They should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. They must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to: product analytics, customer analytics, marketing analytics, new product releases, etc.. They should also be able to communicate key objectives and analytical findings to internal stakeholders and across Disney; to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Data, Product and Engineering teams to understand business drivers and synthesize information
Lead measurement and data aggregation for multiple data sources
Create data sets and collect subscription, watch, and clickstream data for KPI tracking
Support various reporting needs via dashboards - including marketing performance and ROI from campaign analytics; subscription business including acquisition of new consumers, engagement and retention
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of the organization
Basic Qualifications:
5+ years of experience in an analysis, market research or consulting role
3+ years of experience managing a team
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Experience in measuring marketing campaign effectiveness, defining and tracking KPIs.
Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
We are seeking a detail-oriented, data operations analyst who will focus on improving the quality and reliability of our data as part of the Data Governance and Instrumentation team. Collaborating heavily with our data and product engineering teams, this role relies on previous hands-on experience with data modeling, testing and optimizing new data sources, data lineage, and other processes to address data quality.
This role directly contributes to the success of our data strategy by enabling internal clients to access, explore and monitor data, as well as perform analysis and share insights.
At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to our operations and growth.
Responsibilities:
Help improve the quality and reliability of the data we surface in our business intelligence, marketing, and other internal systems
Develop a deep understanding of the different data sources we support and their respective pipelines
Build queries, tools, and processes that identify potential data quality issues
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into business and product performance
Drive processes supporting engineering and product teams to reconcile data quality issues and develop and execute on mitigation plans
Work closely with data engineering to understand the pipelines by which data is collected, stored, and transformed for fast, easy consumption
Identify ways to more efficiently detect and correct potential data quality concerns
Work within the data governance team to document data processes and pipelines
Assist in scoping and implementing data solutions, including both third-party governance tools and BI solutions
Basic Qualifications:
2+ years of analytical experience working in a fast-paced environment.
2+ years of work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Sisense, etc.
Experience with complex ETL processes, data warehousing, (e.g. Redshift, Snowflake) and data governance tools
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication and presentation skills – written, visual, and verbal presentations
Degree in an analytical field.
May 05, 2019
Full-time
We are seeking a detail-oriented, data operations analyst who will focus on improving the quality and reliability of our data as part of the Data Governance and Instrumentation team. Collaborating heavily with our data and product engineering teams, this role relies on previous hands-on experience with data modeling, testing and optimizing new data sources, data lineage, and other processes to address data quality.
This role directly contributes to the success of our data strategy by enabling internal clients to access, explore and monitor data, as well as perform analysis and share insights.
At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to our operations and growth.
Responsibilities:
Help improve the quality and reliability of the data we surface in our business intelligence, marketing, and other internal systems
Develop a deep understanding of the different data sources we support and their respective pipelines
Build queries, tools, and processes that identify potential data quality issues
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into business and product performance
Drive processes supporting engineering and product teams to reconcile data quality issues and develop and execute on mitigation plans
Work closely with data engineering to understand the pipelines by which data is collected, stored, and transformed for fast, easy consumption
Identify ways to more efficiently detect and correct potential data quality concerns
Work within the data governance team to document data processes and pipelines
Assist in scoping and implementing data solutions, including both third-party governance tools and BI solutions
Basic Qualifications:
2+ years of analytical experience working in a fast-paced environment.
2+ years of work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Sisense, etc.
Experience with complex ETL processes, data warehousing, (e.g. Redshift, Snowflake) and data governance tools
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication and presentation skills – written, visual, and verbal presentations
Degree in an analytical field.
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity.
We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to: influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers.
As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally.
The Expertise We’re Looking For
Bachelor’s degree in Computer Science or similar discipline.
5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS
Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems
Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB)
Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker)
Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets)
The Purpose of Your Role
Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems;
Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
The Skills You Bring
Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills
Your Big Data Skills with popular stacks like Hadoop and Spark
Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform
Your expertise in all phases of data modeling, from conceptualization to database optimization.
Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals
Your desire and aptitude for learning new technologies
Your excellent verbal and written communication skills
The Value You Deliver
Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation
Create data monitoring models for each product and work with our marketing team to create models ahead of new releases
Ability to build data models supporting complex transformation
Identifying and ingesting new data sources and performing feature engineering for integration into models
How Your Work Impacts the Organization
Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.
Fidelity Investments is an equal opportunity employer.
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Intel's Information Security team is hiring Information Security professionals in all domains of Cyber Security across our locations in the United States, Israel, India and Costa Rica.
Candidates with 5 - 20 years of experience in Cyber Security and with diverse experience in one or several of the key Cyber Security domains are encouraged to apply. Security Management, Governance, Risk, Compliance, Privacy, Vulnerability Management, Data Protection, DLP, Identity and Access Management, Network Security, Application Security, Cryptography, End point security, Security engineering, Security architecture and design, Threat management, Threat intelligence, Security operations, Forensics, Investigations, Audit, Security Operations Center (SOC) and other major areas of Cyber Security are some of the skillsets we are looking for.
If you think you are a passionate security professional and ready to pursue an exciting and satisfying career with Intel, please apply in this requisition.
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This position is for Intel's enterprise Information Security team. The Cyber Threat Intelligence Analyst manages threat priorities, detection coverage, and the threat actor portfolio. This role will partner with incident response, red team, and vulnerability and risk management.
Your responsibilities will include but not be limited to:
Track threat actors, campaigns, leading and tailing vulnerabilities and exploits, and associated tactics, techniques, and procedures (TTP).
Covert TTPs into internal SNORT, YARA, and SIEM rules to produce actionable alerts.
Produce clear, concise, and precise oral briefings, technical alerts, and actor profiles in accordance with accepted analytic tradecraft and methodologies.
Reverse engineer malware (static or dynamic) to support incident response and proactively convert malware artifacts into retro-hunts in malware repositories.
Ability to integrate timely, actionable, and relevant TTPs into Red Team operations to emulate actors, model campaigns, and increase detection in assumed areas of risk.
Ability to collect/analyze long-term actor trends to coordinate with peer information and product security, legal, and corporate security teams to reduce business impact.
Coordinate intelligence internally with information security teams and externally with trusted information sharing groups and select industry partnerships.
Qualifications:
The ideal candidate should exhibit the following behavioral traits:
Problem-solving skills
Ability to multitask
Strong written and verbal communication skills
Ability to work in a dynamic and team oriented environment
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Bachelor's degree or higher in Computer Science, Math, Statistics, Information Systems, Economics, International relations or any other related area.
Certifications such as CISSP, GIAC, GCIH, GCFA, GREM, OSCP'E, CREST Certified Threat Intelligence Analyst, or FOR578 from certification bodies like ISC2, ISACA, SANS, or comparable intelligence community training are required.
5+ years of experience working as a cyber intelligence analyst, incident responder, Red team operator, reverse engineer, or technical cyber policy analyst.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Preferred Qualifications:
Possess a passion for systems thinking, data analysis, strong analytical skills.
Integrate IOCs, detection rules, and correlation rules in accordance with CND-based models (Kill Chain, Pyramid of Pain, ATT&CK, etc.) with security operations tools.
Experience in Agile/Kanban enterprise-scale software development.
Industry or sector leadership in designing and improving the field of cyber intelligence.
Change agent with ability to drive accountability and cross-team outcomes across a matrixed global team environment across time zones and international geographies.
Knowledge, Skills, Abilities:
Scripting languages: Python, Ruby, JavaScript.
Network security tools: DNS monitoring tools, NIPS/NIDS rules, Next generation firewalls.
Malware reversing: Dynamic and static malware analysis, reversing engineering tools.
Email security tools: Proxy tools, anti-phishing software, and e-mail content scanning.
Host based security: HIPS/HIDS correlation rules, endpoint detection and response tools.
Analytic tradecraft: structured analytic techniques and/or Intelligence community standards.
Intelligence enrichment tools: PassiveDNS, Domain Registration, VirusTotal, OSINT collection.
Candidates should be willing to relocate to Folsom, California or Portland, Oregon area.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Other Locations
US, Arizona, Phoenix; US, California, San Jose
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
May 03, 2019
Full-time
Intel's Information Security team is hiring Information Security professionals in all domains of Cyber Security across our locations in the United States, Israel, India and Costa Rica.
Candidates with 5 - 20 years of experience in Cyber Security and with diverse experience in one or several of the key Cyber Security domains are encouraged to apply. Security Management, Governance, Risk, Compliance, Privacy, Vulnerability Management, Data Protection, DLP, Identity and Access Management, Network Security, Application Security, Cryptography, End point security, Security engineering, Security architecture and design, Threat management, Threat intelligence, Security operations, Forensics, Investigations, Audit, Security Operations Center (SOC) and other major areas of Cyber Security are some of the skillsets we are looking for.
If you think you are a passionate security professional and ready to pursue an exciting and satisfying career with Intel, please apply in this requisition.
-----
This position is for Intel's enterprise Information Security team. The Cyber Threat Intelligence Analyst manages threat priorities, detection coverage, and the threat actor portfolio. This role will partner with incident response, red team, and vulnerability and risk management.
Your responsibilities will include but not be limited to:
Track threat actors, campaigns, leading and tailing vulnerabilities and exploits, and associated tactics, techniques, and procedures (TTP).
Covert TTPs into internal SNORT, YARA, and SIEM rules to produce actionable alerts.
Produce clear, concise, and precise oral briefings, technical alerts, and actor profiles in accordance with accepted analytic tradecraft and methodologies.
Reverse engineer malware (static or dynamic) to support incident response and proactively convert malware artifacts into retro-hunts in malware repositories.
Ability to integrate timely, actionable, and relevant TTPs into Red Team operations to emulate actors, model campaigns, and increase detection in assumed areas of risk.
Ability to collect/analyze long-term actor trends to coordinate with peer information and product security, legal, and corporate security teams to reduce business impact.
Coordinate intelligence internally with information security teams and externally with trusted information sharing groups and select industry partnerships.
Qualifications:
The ideal candidate should exhibit the following behavioral traits:
Problem-solving skills
Ability to multitask
Strong written and verbal communication skills
Ability to work in a dynamic and team oriented environment
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Bachelor's degree or higher in Computer Science, Math, Statistics, Information Systems, Economics, International relations or any other related area.
Certifications such as CISSP, GIAC, GCIH, GCFA, GREM, OSCP'E, CREST Certified Threat Intelligence Analyst, or FOR578 from certification bodies like ISC2, ISACA, SANS, or comparable intelligence community training are required.
5+ years of experience working as a cyber intelligence analyst, incident responder, Red team operator, reverse engineer, or technical cyber policy analyst.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Preferred Qualifications:
Possess a passion for systems thinking, data analysis, strong analytical skills.
Integrate IOCs, detection rules, and correlation rules in accordance with CND-based models (Kill Chain, Pyramid of Pain, ATT&CK, etc.) with security operations tools.
Experience in Agile/Kanban enterprise-scale software development.
Industry or sector leadership in designing and improving the field of cyber intelligence.
Change agent with ability to drive accountability and cross-team outcomes across a matrixed global team environment across time zones and international geographies.
Knowledge, Skills, Abilities:
Scripting languages: Python, Ruby, JavaScript.
Network security tools: DNS monitoring tools, NIPS/NIDS rules, Next generation firewalls.
Malware reversing: Dynamic and static malware analysis, reversing engineering tools.
Email security tools: Proxy tools, anti-phishing software, and e-mail content scanning.
Host based security: HIPS/HIDS correlation rules, endpoint detection and response tools.
Analytic tradecraft: structured analytic techniques and/or Intelligence community standards.
Intelligence enrichment tools: PassiveDNS, Domain Registration, VirusTotal, OSINT collection.
Candidates should be willing to relocate to Folsom, California or Portland, Oregon area.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Other Locations
US, Arizona, Phoenix; US, California, San Jose
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
