Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
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
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Jul 19, 2019
Full-time
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
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
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at 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. The Business Intelligence Analyst 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 various teams at Movies Anywhere (including product, marketing, finance, strategy) 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 influence in the future direction of the product.
Responsibilities :
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
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 :
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 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.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
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
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 :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
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.
Jul 14, 2019
Full-time
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at 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. The Business Intelligence Analyst 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 various teams at Movies Anywhere (including product, marketing, finance, strategy) 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 influence in the future direction of the product.
Responsibilities :
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
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 :
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 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.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
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
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 :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
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.
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Jul 12, 2019
Part-time
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 17, 2019
Full-time
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities :
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications :
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education :
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Jul 05, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications :
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Jul 04, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
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
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.
Advance Process Solutions (APS) is looking for top UI developer talent that can, via skilled development, drive high user satisfaction as it relates to the work flow and business process related web tools within our product portfolio. This role will play a key part in developing industry standard and best-practice web applications – utilizing modern and cutting-edge development languages, frameworks and methodologies.
The Team
As part of the APS business unit within Fidelity Investments, you will join a Scrum team of 6-8 highly skilled individuals tasked with re-imagining the next generation of Fidelity’s work flow suite of tools – this team will be highly focused on the UI side of this effort; challenged to craft a state of the art front-end experience that creates symmetry across a suite of related products.
The Expertise You Have
Bachelor’s Degree in Computer Science / similar technical discipline and or equivalent experience
5+ years web development using HTML / CSS / JavaScript
3+ years expert JavaScript development skills required
Skills in jQuery, Angular, Backbone, Require, Bower, Browserify, or other advanced JavaScript skills are required
Familiarity with AWS and other cloud-based development methodologies / best-practices
Experience with Restful APIs is a plus
Server-side experience also a plus – Java / .NET / Node.js / Golang, etc.
The Skills You Bring
You have experience with modern web application packaging and deployment using Yeoman, Grunt / Gulp
You have experience with Maven, Nexus, Git, NPM, Jenkins
You have superb communication skills
You have a strong problem resolution skills
You have the ability to work in a team-oriented environment
The Value You Deliver
Accountable for consistent delivery of functional software – sprint to sprint, release to release
High level execution of web development best-practices per Fidelity processes and standards
Devising or modifying procedures to tackle dynamic and complex business problems
Excellence in software development practices and procedures
Participating in application level architecture
Developing original and creative technical solutions to on-going development efforts
Responsible for QA readiness of software deliverables (end-to-end tests, unit tests, automation)
Dedicatedly supporting implementation of moderate-scope projects or major initiatives
Working on dynamic and complex assignments and often multiple phases of a project
Assisting in developing departmental technical policies and procedures
Assisting in establishing project plans for projects of moderate scope
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Advance Process Solutions (APS) is looking for top UI developer talent that can, via skilled development, drive high user satisfaction as it relates to the work flow and business process related web tools within our product portfolio. This role will play a key part in developing industry standard and best-practice web applications – utilizing modern and cutting-edge development languages, frameworks and methodologies.
The Team
As part of the APS business unit within Fidelity Investments, you will join a Scrum team of 6-8 highly skilled individuals tasked with re-imagining the next generation of Fidelity’s work flow suite of tools – this team will be highly focused on the UI side of this effort; challenged to craft a state of the art front-end experience that creates symmetry across a suite of related products.
The Expertise You Have
Bachelor’s Degree in Computer Science / similar technical discipline and or equivalent experience
5+ years web development using HTML / CSS / JavaScript
3+ years expert JavaScript development skills required
Skills in jQuery, Angular, Backbone, Require, Bower, Browserify, or other advanced JavaScript skills are required
Familiarity with AWS and other cloud-based development methodologies / best-practices
Experience with Restful APIs is a plus
Server-side experience also a plus – Java / .NET / Node.js / Golang, etc.
The Skills You Bring
You have experience with modern web application packaging and deployment using Yeoman, Grunt / Gulp
You have experience with Maven, Nexus, Git, NPM, Jenkins
You have superb communication skills
You have a strong problem resolution skills
You have the ability to work in a team-oriented environment
The Value You Deliver
Accountable for consistent delivery of functional software – sprint to sprint, release to release
High level execution of web development best-practices per Fidelity processes and standards
Devising or modifying procedures to tackle dynamic and complex business problems
Excellence in software development practices and procedures
Participating in application level architecture
Developing original and creative technical solutions to on-going development efforts
Responsible for QA readiness of software deliverables (end-to-end tests, unit tests, automation)
Dedicatedly supporting implementation of moderate-scope projects or major initiatives
Working on dynamic and complex assignments and often multiple phases of a project
Assisting in developing departmental technical policies and procedures
Assisting in establishing project plans for projects of moderate scope
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
Corporate Technology Group (CTG) is seeking a Systems Analyst to define and document requirements for a series of compliance and risk-related IT projects with a focus on retail trade surveillance. The core objective of the project work is to help our sponsors to reduce regulatory risk and protect customer assets. This person will be expected to facilitate requirements gathering sessions with customers, document the requirements, and propose design solutions. A strong candidate will have some background in brokerage-related concepts, machine learning, robotics, and predictive analytics. The candidate must also have experience with the Agile development methodology, project management-related best practices, and leadership.
This position is based full time in Smithfield, RI.
Primary Responsibilities
Understand and document current state business process flows, policies, and procedures.
Solicit, understand, and document stories specific to efficiency and strategic initiatives put forth by business partners. Enter data into JIRA and coordinate sprints.
Contribute ideas and information to system design discussions
Become a subject matter expert on both business flows and our technology platform
Partner closely with quality assurance team to transfer knowledge, document use cases, and test software
Oversee and implement process improvement initiatives specific to analysis and design best practices
Analyze incident and problem trends specific to assigned projects. Recommend resolutions where appropriate.
Facilitate meetings in an organized and efficient manner.
Ensure the technology capabilities are responsive to the needs of the business objectives.
Why Fidelity?
Three consecutive years on CareerBliss'Top 50 Happiest Companies Employees Survey
A company that is committed to innovation and being an industry leader by investing in technology
More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide
Access to top-tier technology platforms, OS, and frameworks
Non-traditional benefits like our Concierge Service, Computer Equipment Purchase Assistance Program and profit sharing eligibility
Company Culture
At Fidelity, you can find it all here. We reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees' individual differences can contribute to the bright and strong future of our company.
Education and Experience
Bachelor degree in finance, mathematics, computer science, information systems, or a related technical field
MBA or Masters is a plus.
10+ years working in the IT industry;
5+ years managing application development projects supporting compliance and/or brokerage functions
Experience with vendor management and third-party product implementations. Time working with Actimize product and large batch cycles a plus.
Experience in querying relational databases and interpreting results. Oracle and pl/sql stored procedures preferred
Experience with finance and brokerage related concepts is preferred
Skills and Knowledge
Strong communication and leadership presence. The candidate must have the ability to present ideas and information clearly and effectively through oral and written channels.
Ability to work with stakeholders geographically dispersed across multiple locations (both onshore and offshore).
Ability to deliver projects using an Agile development methodology. Familiarity with the agile framework and JIRA is a plus.
Ability to work closely with business and technology partners across multiple business domains and providing the appropriate system solutions
Working knowledge of business intelligence tools, techniques, and best practices
Fidelity Investments is one of the world's largest providers of financial services. Founded in 1946, the firm is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and many other financial products and services to more than 20 million individuals and institutions, as well as through 5,000 financial intermediary firms.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Corporate Technology Group (CTG) is seeking a Systems Analyst to define and document requirements for a series of compliance and risk-related IT projects with a focus on retail trade surveillance. The core objective of the project work is to help our sponsors to reduce regulatory risk and protect customer assets. This person will be expected to facilitate requirements gathering sessions with customers, document the requirements, and propose design solutions. A strong candidate will have some background in brokerage-related concepts, machine learning, robotics, and predictive analytics. The candidate must also have experience with the Agile development methodology, project management-related best practices, and leadership.
This position is based full time in Smithfield, RI.
Primary Responsibilities
Understand and document current state business process flows, policies, and procedures.
Solicit, understand, and document stories specific to efficiency and strategic initiatives put forth by business partners. Enter data into JIRA and coordinate sprints.
Contribute ideas and information to system design discussions
Become a subject matter expert on both business flows and our technology platform
Partner closely with quality assurance team to transfer knowledge, document use cases, and test software
Oversee and implement process improvement initiatives specific to analysis and design best practices
Analyze incident and problem trends specific to assigned projects. Recommend resolutions where appropriate.
Facilitate meetings in an organized and efficient manner.
Ensure the technology capabilities are responsive to the needs of the business objectives.
Why Fidelity?
Three consecutive years on CareerBliss'Top 50 Happiest Companies Employees Survey
A company that is committed to innovation and being an industry leader by investing in technology
More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide
Access to top-tier technology platforms, OS, and frameworks
Non-traditional benefits like our Concierge Service, Computer Equipment Purchase Assistance Program and profit sharing eligibility
Company Culture
At Fidelity, you can find it all here. We reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees' individual differences can contribute to the bright and strong future of our company.
Education and Experience
Bachelor degree in finance, mathematics, computer science, information systems, or a related technical field
MBA or Masters is a plus.
10+ years working in the IT industry;
5+ years managing application development projects supporting compliance and/or brokerage functions
Experience with vendor management and third-party product implementations. Time working with Actimize product and large batch cycles a plus.
Experience in querying relational databases and interpreting results. Oracle and pl/sql stored procedures preferred
Experience with finance and brokerage related concepts is preferred
Skills and Knowledge
Strong communication and leadership presence. The candidate must have the ability to present ideas and information clearly and effectively through oral and written channels.
Ability to work with stakeholders geographically dispersed across multiple locations (both onshore and offshore).
Ability to deliver projects using an Agile development methodology. Familiarity with the agile framework and JIRA is a plus.
Ability to work closely with business and technology partners across multiple business domains and providing the appropriate system solutions
Working knowledge of business intelligence tools, techniques, and best practices
Fidelity Investments is one of the world's largest providers of financial services. Founded in 1946, the firm is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and many other financial products and services to more than 20 million individuals and institutions, as well as through 5,000 financial intermediary firms.
Fidelity Investments is an equal opportunity employer.
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
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. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
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.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
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
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.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
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 an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
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.
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. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
May 03, 2019
Full-time
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
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.
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. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Who You Are
Being a data analyst at Magento Business Intelligence is all about problem solving. If you are often driven to ask more of data, this is the perfect role for you. Interest in eCommerce and online technology is a given.
What You'll Do
Your top priority will be working with internal data sets to deliver valuable insights. You will use your academic and work experience to quickly learn the ins and outs of our software so you can help our customers understand their data and create actionable analyses that can productized. Ultimately, you are charged with making our clients love us by making their analytics accessible and understandable.
Examples of your specific responsibilities may include:
Analyzing and extracting insights from large, unstructured datasets
Helping users (internal & external) understand and analyze their data effectively
Managing client data warehouses to support analysis
Validating data replication and diagnosing data discrepancies
Evangelizing analysis best-practices
Improving internal processes to maximize efficiency
Creating reusable reports and dashboards that will get bundled with the product
What You Will Need
This is a demanding position where only highly-motivated, self-driven candidates will excel. Qualified candidates should have 1-2 years of relevant professional experience. All applicants must possess the following qualities:
Bachelor Degree
Proficiency with a database language (e.g. PostgreSQL, MongoDB)
Aptitude for problem solving
Strong quantitative analysis skills
Excellent written and spoken communication skills
Good presentation skills
Track record of learning new skills and putting them to use immediately
Hunger for continued learning
Sense of ownership and pride in your performance and that of the company
Things That Will Impress Us
Experience with eCommerce, Magento Commerce, and/or Magento BI
Knowledge of Google Analytics
Experience with data analysis
Customer-facing experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Who You Are
Being a data analyst at Magento Business Intelligence is all about problem solving. If you are often driven to ask more of data, this is the perfect role for you. Interest in eCommerce and online technology is a given.
What You'll Do
Your top priority will be working with internal data sets to deliver valuable insights. You will use your academic and work experience to quickly learn the ins and outs of our software so you can help our customers understand their data and create actionable analyses that can productized. Ultimately, you are charged with making our clients love us by making their analytics accessible and understandable.
Examples of your specific responsibilities may include:
Analyzing and extracting insights from large, unstructured datasets
Helping users (internal & external) understand and analyze their data effectively
Managing client data warehouses to support analysis
Validating data replication and diagnosing data discrepancies
Evangelizing analysis best-practices
Improving internal processes to maximize efficiency
Creating reusable reports and dashboards that will get bundled with the product
What You Will Need
This is a demanding position where only highly-motivated, self-driven candidates will excel. Qualified candidates should have 1-2 years of relevant professional experience. All applicants must possess the following qualities:
Bachelor Degree
Proficiency with a database language (e.g. PostgreSQL, MongoDB)
Aptitude for problem solving
Strong quantitative analysis skills
Excellent written and spoken communication skills
Good presentation skills
Track record of learning new skills and putting them to use immediately
Hunger for continued learning
Sense of ownership and pride in your performance and that of the company
Things That Will Impress Us
Experience with eCommerce, Magento Commerce, and/or Magento BI
Knowledge of Google Analytics
Experience with data analysis
Customer-facing experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business.
If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team!
Responsibilities
This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products.
Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models
Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow)
Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process
Design, implement, and monitor testing to explore new methodologies for our credit strategies
Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
Actively contribute creative ideas to design new financing products for our QuickBooks customers
Qualifications
MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc.
Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus
Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
Have strong sense and direct experience on processing big data systematically and QA work on the final output
Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections
Excellent communication skills and ability to learn fast
Confidence in taking ownership and passion in driving changes in a fast-paced working environment
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
