We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Jan 25, 2019
Full-time
We are looking for a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data and to design experiments to test the effectiveness of various campaign tactics. In addition, you will be a key resource for building out custom analytics to help analyze our partners’ work in the political and advocacy spheres. You will be working in a small but dedicated, detail-oriented team that is committed to our mission. The Murmuration work environment is friendly, driven, and non-corporate but professional.
The Data Scientist will:
Create predictive analytics using the latest machine learning algorithms on relatively “big” data (hundreds of features on > 100 million records)
Provide analytic insights for partners throughout the lifecycle of their campaign(s); build, review, and recommend custom models; provide real-time visualizations and analysis of campaign work; and produce post-campaign analytics to help our partners constantly learn from their efforts
Design and implement large-scale randomized controlled trials to gauge the general effectiveness of advocacy and campaign efforts
Produce post-mortem analytics on the advocacy and campaign work being performed in our platform to help our partners constantly learn from their efforts
Conduct various analyses to infer causality from large sets of behavioral data.
Work closely with the data engineering team to analyze and augment our data
Work closely with our business analysts to draft clear and informative data visualizations
Work with our staff and partners to develop practical ways to apply our leading analytics to the real world
Help optimize our analytic work to perform well on large datasets stored in Amazon Web Services (AWS)
Never stop asking questions and always be hunting for the next impactful insight
Candidate Profile
Murmuration attracts employees with distinctive and diverse backgrounds and accomplishments. Integrity, creativity, flexibility, and drive are key attributes of competitive candidates. The Data and Analytics teams are highly collaborative, friendly and hard-working, and we are looking for a Data Scientist who embodies those values.
The ideal candidate will have:
PhD in political science, sociology, mathematics, statistics or other related field or 4-5 years of experience performing data analysis work as described below
Excellent general data science skills (data cleaning, munging, data visualization)
Excellent Python or R skills
Experience building machine learning models on large datasets
Experience identifying appropriate statistical techniques and applying them to a variety of real-world datasets
Strong problem-solving skills as well as the ability to manage several tasks/projects concurrently and prioritize work effectively
Experience with databases and knowledge of SQL preferred
Experience with Amazon Web Services, in particular applying analytics in that setting (desired not required)
Interest in politics and/or educational policy Location
This position will be based in New York, NY, and requires occasional travel.
Compensation
The Data Scientist position is a full-time, salaried position with a comprehensive benefits package. Compensation for this position is commensurate with experience.
How to Apply
If you are interested in this opportunity, please submit your resume and cover letter here. An Equal-Opportunity Employer with a Commitment to Diversity, Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.
Disney Parks, Experiences, and Consumer Products (DPECP) brings stories, characters and franchises to life through Parks & Resorts, toys, apps, apparel, books, and stores. As Walt said, “You can dream, create, and design the most wonderful place in the world…but it takes people to make the dream a reality.” Walt Disney Parks & Resorts is an industry leader in labor management, empowering best-in-class Cast Members to deliver Disney’s legendary Guest service. The Labor Systems team provides holistic system strategy, optimization, and support for all labor and workforce management systems across domestic sites.
The Data & Analytics Manager will lead the sustainment & project teams responsible for optimizing the data and information strategy across Workforce Management and Labor Systems organizations. A broad foundation of analytical, technical, integration, and collaboration skills are required to advance data and information platforms. This role will lead overarching data advancement in tandem with planned capital projects – all with domestic site-wide implications to support Cast satisfaction, Guest experience, and business impact.
Responsibilities:
Lead the research and design effort for future state data and information strategy across all workforce systems, in tandem with planned capital projects and system enhancements.
Understand the high-level big picture technology strategies, recognizing project connectivity across Labor Systems/Workforce Management, and across the larger WDW and DLR sites with potential implications to data and information flow.
Lead the transformation of data management and governance across Labor Systems and Workforce Management teams domestically. Identify, resolve, and troubleshoot issues with current data structure and governance.
Lead integration efforts with key business and technology stakeholders – including Information Advantage, Solution Engineering, Technology, Workforce Management, Operations, LOB partners, HRIS, People Strategies, etc.
Lead collaboration with system end-users (front-line Cast and Leader representatives) as well as analytical end-users (Workforce Management and Labor Systems teams) to understand opportunities for new capabilities in information, data, and reporting. Develop proof of concept toolsets to put information in the hands of “the right people at the right time”.
Develop strategic documents to articulate and visually display data and information strategy.
Lead change management efforts related to data and information process changes.
Lead a team of full-time sustainment and project analysts including coaching and development.
Basic Qualifications:
Demonstrated strong technical experience in complex data sets, data connections, system functionality, operational reporting, and data analysis
Strong business planning, communication and time management skills
Substantial partnering and influencing skills with the ability to work with leaders at all levels to coordinate team efforts
Experienced leader of direct reports with demonstrated ability to coach and develop a team to achieve personal and professional milestones.
Strong systems/process orientation with demonstrated analytical thinking and problem solving skills
Ability to work in a team-oriented, collaborative environment and to work effectively within a matrix organization and project environment (e.g. Agile)
Must have ability to work independently and make decisions with minimal guidance while managing multiple tasks and projects
Proficient in data visualization and reporting tools (e.g. Tableau, Power BI, Alteryx, Business Objects)
Familiarity with query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS)
Preferred Qualifications:
Proficient in multiple query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS).
Familiarity with workforce management/labor concepts
Project experience with upstream/downstream data integration and reporting requirements/capabilities
Required Education:
Bachelor's degree in Business Administration, Mathematics, Statistics, Economics, Industrial Engineering, Computer Science, or related field
Preferred Education:
Graduate degree in Business Administration, Mathematics, Statistics, Economics, Industrial Engineering, Computer Science, or related field
About Parks, Experiences and Consumer Products:
The Parks, Experiences and Consumer Products segment includes Disney’s iconic travel and leisure businesses, which include six resort destinations in the United States, Europe and Asia, a top-rated cruise line, a popular vacation ownership program, and an award-winning guided family adventure business. Disney’s global consumer products operations include the world’s leading licensing business across toys, apparel, home goods, digital games and apps; the world’s largest children’s publisher; Disney store locations around the world; and the shopDisney e-commerce platform.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Walt Disney Parks and Resorts U.S., Inc., which is part of a business segment we call Parks, Experiences and Consumer Products.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
Jan 18, 2019
Full-time
Disney Parks, Experiences, and Consumer Products (DPECP) brings stories, characters and franchises to life through Parks & Resorts, toys, apps, apparel, books, and stores. As Walt said, “You can dream, create, and design the most wonderful place in the world…but it takes people to make the dream a reality.” Walt Disney Parks & Resorts is an industry leader in labor management, empowering best-in-class Cast Members to deliver Disney’s legendary Guest service. The Labor Systems team provides holistic system strategy, optimization, and support for all labor and workforce management systems across domestic sites.
The Data & Analytics Manager will lead the sustainment & project teams responsible for optimizing the data and information strategy across Workforce Management and Labor Systems organizations. A broad foundation of analytical, technical, integration, and collaboration skills are required to advance data and information platforms. This role will lead overarching data advancement in tandem with planned capital projects – all with domestic site-wide implications to support Cast satisfaction, Guest experience, and business impact.
Responsibilities:
Lead the research and design effort for future state data and information strategy across all workforce systems, in tandem with planned capital projects and system enhancements.
Understand the high-level big picture technology strategies, recognizing project connectivity across Labor Systems/Workforce Management, and across the larger WDW and DLR sites with potential implications to data and information flow.
Lead the transformation of data management and governance across Labor Systems and Workforce Management teams domestically. Identify, resolve, and troubleshoot issues with current data structure and governance.
Lead integration efforts with key business and technology stakeholders – including Information Advantage, Solution Engineering, Technology, Workforce Management, Operations, LOB partners, HRIS, People Strategies, etc.
Lead collaboration with system end-users (front-line Cast and Leader representatives) as well as analytical end-users (Workforce Management and Labor Systems teams) to understand opportunities for new capabilities in information, data, and reporting. Develop proof of concept toolsets to put information in the hands of “the right people at the right time”.
Develop strategic documents to articulate and visually display data and information strategy.
Lead change management efforts related to data and information process changes.
Lead a team of full-time sustainment and project analysts including coaching and development.
Basic Qualifications:
Demonstrated strong technical experience in complex data sets, data connections, system functionality, operational reporting, and data analysis
Strong business planning, communication and time management skills
Substantial partnering and influencing skills with the ability to work with leaders at all levels to coordinate team efforts
Experienced leader of direct reports with demonstrated ability to coach and develop a team to achieve personal and professional milestones.
Strong systems/process orientation with demonstrated analytical thinking and problem solving skills
Ability to work in a team-oriented, collaborative environment and to work effectively within a matrix organization and project environment (e.g. Agile)
Must have ability to work independently and make decisions with minimal guidance while managing multiple tasks and projects
Proficient in data visualization and reporting tools (e.g. Tableau, Power BI, Alteryx, Business Objects)
Familiarity with query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS)
Preferred Qualifications:
Proficient in multiple query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS).
Familiarity with workforce management/labor concepts
Project experience with upstream/downstream data integration and reporting requirements/capabilities
Required Education:
Bachelor's degree in Business Administration, Mathematics, Statistics, Economics, Industrial Engineering, Computer Science, or related field
Preferred Education:
Graduate degree in Business Administration, Mathematics, Statistics, Economics, Industrial Engineering, Computer Science, or related field
About Parks, Experiences and Consumer Products:
The Parks, Experiences and Consumer Products segment includes Disney’s iconic travel and leisure businesses, which include six resort destinations in the United States, Europe and Asia, a top-rated cruise line, a popular vacation ownership program, and an award-winning guided family adventure business. Disney’s global consumer products operations include the world’s leading licensing business across toys, apparel, home goods, digital games and apps; the world’s largest children’s publisher; Disney store locations around the world; and the shopDisney e-commerce platform.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Walt Disney Parks and Resorts U.S., Inc., which is part of a business segment we call Parks, Experiences and Consumer Products.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
Be a part of an innovative team and culture…
At Disney, we believe that there are no limits to where creativity and imagination can take us. In our stories, we find examples of those inspired to envision a brighter tomorrow and the aspiration to make that dream come true. Our unique approach to citizenship is rooted in the entertainment that we create and the special relationship we have with kids and families around the world. Our assets and our reach provide us with an opportunity to inspire audiences everywhere to join us in taking action and caring for the world we share. This opportunity to inspire guides our work across citizenship. It is at the core of our citizenship mission to conduct our business and create products in an ethical manner and promote the happiness and well-being of kids and families everywhere. Our commitment to environmental stewardship focuses on using resources wisely and protecting the planet as we operate and grow our business. Environmental Sustainability, part of the Disney Enterprise Social Responsibility, is responsible for supporting the Company’s focus on its environmental goals. This group leads the ongoing development of Disney’s environmental footprint assessment and collaborates with business units to create metrics and processes that will enable the company to achieve aggressive goals to reduce its environmental impact. Current projects include conducting greenhouse gas emissions, water, and waste inventories enterprise wide; developing strategies to reduce our environmental footprint; evaluating new project designs for sustainability; and researching emerging environmental sustainability issues.
Responsibilities
A Day in the Life…
The intern’s primary focus will be to:
Assist with data collection for the Greenhouse Gas Inventory. This involves interacting with over 50 data providers, compiling and organizing data, data entry, quality assurance and quality control
Assist with waste, water, and production inventories
Track, analyze, and report on Disney’s environmental targets on GHG, water, and waste
Assist in evaluating sustainability standards and developing benchmarks and metrics
Assist in establishing sustainability best practices knowledge base for new assets
Research emerging environmental trends and issues
Assist in internal communication efforts: preparation of quarterly reports, figures, data analysis
Basic Qualifications
What we are looking for…
The ideal candidate has the following skills, experience and abilities:
Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics
Experience with sustainability, climate change, corporate citizenship, and environmental issues (regulations, developing legislation, industry trends)
Strong technical and analytical skills, with experience collecting, validating, analyzing, reporting, and summarizing data. Experience in converting various units of measurement (i.e. volume to mass conversions, metric and American, etc.)
Experience analyzing data using Excel (pivot tables, charts, formulas,…)
Interested in applying an analytical education to environmental issues; such as waste, water resources management and climate change.
Strong skills in process management, documentation, and communication skills
Excellent ability to create organized, comprehensive, and clear briefs
Knowledge in Sustainable Design and Green building certification
Familiarity with environmental data reporting
Preferred Qualifications
Experience in graphic design for infographics or presentations
Experience with data analysis using R or Python code
Knowledge of Building Energy Modeling Software tools
Required Education
Currently enrolled in an accredited college or university and taking at least one class, or be a recent graduate of an accredited college or university within the last six (6) months at time of application, or be currently participating in the Disney College Program, Disney Culinary Program or Disney Professional Internship Program
Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics
Additional Information
The approximate dates of this internship are June 2019 through January 2020
Candidate must be available to work full time hours (approximately 40 hours per week) for the duration of the internship
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program
Must possess unrestricted work authorization
Housing: Interns must provide their own housing for the duration of their internship program.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Required Materials: PDF version of resume must be uploaded at time of application
Feb 07, 2019
Internship
Be a part of an innovative team and culture…
At Disney, we believe that there are no limits to where creativity and imagination can take us. In our stories, we find examples of those inspired to envision a brighter tomorrow and the aspiration to make that dream come true. Our unique approach to citizenship is rooted in the entertainment that we create and the special relationship we have with kids and families around the world. Our assets and our reach provide us with an opportunity to inspire audiences everywhere to join us in taking action and caring for the world we share. This opportunity to inspire guides our work across citizenship. It is at the core of our citizenship mission to conduct our business and create products in an ethical manner and promote the happiness and well-being of kids and families everywhere. Our commitment to environmental stewardship focuses on using resources wisely and protecting the planet as we operate and grow our business. Environmental Sustainability, part of the Disney Enterprise Social Responsibility, is responsible for supporting the Company’s focus on its environmental goals. This group leads the ongoing development of Disney’s environmental footprint assessment and collaborates with business units to create metrics and processes that will enable the company to achieve aggressive goals to reduce its environmental impact. Current projects include conducting greenhouse gas emissions, water, and waste inventories enterprise wide; developing strategies to reduce our environmental footprint; evaluating new project designs for sustainability; and researching emerging environmental sustainability issues.
Responsibilities
A Day in the Life…
The intern’s primary focus will be to:
Assist with data collection for the Greenhouse Gas Inventory. This involves interacting with over 50 data providers, compiling and organizing data, data entry, quality assurance and quality control
Assist with waste, water, and production inventories
Track, analyze, and report on Disney’s environmental targets on GHG, water, and waste
Assist in evaluating sustainability standards and developing benchmarks and metrics
Assist in establishing sustainability best practices knowledge base for new assets
Research emerging environmental trends and issues
Assist in internal communication efforts: preparation of quarterly reports, figures, data analysis
Basic Qualifications
What we are looking for…
The ideal candidate has the following skills, experience and abilities:
Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics
Experience with sustainability, climate change, corporate citizenship, and environmental issues (regulations, developing legislation, industry trends)
Strong technical and analytical skills, with experience collecting, validating, analyzing, reporting, and summarizing data. Experience in converting various units of measurement (i.e. volume to mass conversions, metric and American, etc.)
Experience analyzing data using Excel (pivot tables, charts, formulas,…)
Interested in applying an analytical education to environmental issues; such as waste, water resources management and climate change.
Strong skills in process management, documentation, and communication skills
Excellent ability to create organized, comprehensive, and clear briefs
Knowledge in Sustainable Design and Green building certification
Familiarity with environmental data reporting
Preferred Qualifications
Experience in graphic design for infographics or presentations
Experience with data analysis using R or Python code
Knowledge of Building Energy Modeling Software tools
Required Education
Currently enrolled in an accredited college or university and taking at least one class, or be a recent graduate of an accredited college or university within the last six (6) months at time of application, or be currently participating in the Disney College Program, Disney Culinary Program or Disney Professional Internship Program
Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics
Additional Information
The approximate dates of this internship are June 2019 through January 2020
Candidate must be available to work full time hours (approximately 40 hours per week) for the duration of the internship
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program
Must possess unrestricted work authorization
Housing: Interns must provide their own housing for the duration of their internship program.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program.
Required Materials: PDF version of resume must be uploaded at time of application
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities:
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications:
2+ years of relevant experience (1 year work experience implementing and reporting on business key performance indicators and 1 year work experience using SQL is required)
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Comfortable working in a fast-paced and highly collaborative environment.
Required Education:
BS Degree
Preferred Education:
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Feb 01, 2019
Full-time
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data.
Responsibilities:
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior.
Partner with cross-functional colleagues to identify and report on short-term and long-term performance.
Implementing self-service tools used to access disparate data sources (both legacy and cloud-based).
Train and support colleagues in the use of self-service data exploration and visualization tools.
Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies.
Perform ad hoc analysis as necessary.
Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business.
Basic Qualifications:
2+ years of relevant experience (1 year work experience implementing and reporting on business key performance indicators and 1 year work experience using SQL is required)
Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift.
Additional programming languages (e.g. Python, R) preferred.
Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills – written and verbal presentations.
Excellent conceptual and analytical reasoning competencies.
Comfortable working in a fast-paced and highly collaborative environment.
Required Education:
BS Degree
Preferred Education:
Degree in an analytical field such as economics, mathematics, or computer science is desired.
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Consumer Products (DPECP). CIMA influences decision making with integrated, objective, and actionable insights. We are seeking a Senior Manager, Business Insights and Analytics to support Consumer Products (CP), the division of DPECP 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. The position reports to the Vice President M&S Analytics & Optimization and has approximately five direct reports. The Senior Manager, Business Insights and Analytics will be a driver and partner for analytics across the Disney Consumer Products business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. The candidate for this role should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. Candidate must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to, trend studies, guest interactions and predictions, pre & post promotions evaluation, new product releases, etc. These analyses will often include cost benefit and/or return on marketing spend. Candidate would also be able to communicate key findings to internal stakeholders and across line-of-businesses (LOBs); to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Retail team, Global Products team, Publishing team and other LOB teams to understand business drivers and synthesize information across businesses
Support publishing business, connected experiences, kids apps and VR/AR products
Lead measurement and data aggregation for multiple data sources including YouTube API’s; Create data sets and collect video series, spend, impressions data for KPI tracking
Support media reporting via dashboards; Measure marketing performance and ROI from campaign analytics; Make recommendations on targeting strategy (segmentation, messaging, testing); Support subscription business including acquisition of new consumers, engagement with existing subscriber base and retention of subscription lifecycle
Provide advanced analytical support and multi-touch attribution to model consumer interactions with digital channels and conversion tracking, propensity and look-alike modeling
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of DPECP’s organization
Basic Qualifications:
7+ years of experience in an analysis, market research or consulting role
4+ years of experience managing a team
Experience in marketing analytics, especially measuring campaign effectiveness, defining and tracking KPIs. Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
Preferred Education:
Master degree in business, mathematics, statistics, or economics
Feb 01, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Consumer Products (DPECP). CIMA influences decision making with integrated, objective, and actionable insights. We are seeking a Senior Manager, Business Insights and Analytics to support Consumer Products (CP), the division of DPECP 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. The position reports to the Vice President M&S Analytics & Optimization and has approximately five direct reports. The Senior Manager, Business Insights and Analytics will be a driver and partner for analytics across the Disney Consumer Products business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. The candidate for this role should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. Candidate must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to, trend studies, guest interactions and predictions, pre & post promotions evaluation, new product releases, etc. These analyses will often include cost benefit and/or return on marketing spend. Candidate would also be able to communicate key findings to internal stakeholders and across line-of-businesses (LOBs); to ensure appropriate data is incorporated in servicing their business needs.
Responsibilities:
Partner with the Retail team, Global Products team, Publishing team and other LOB teams to understand business drivers and synthesize information across businesses
Support publishing business, connected experiences, kids apps and VR/AR products
Lead measurement and data aggregation for multiple data sources including YouTube API’s; Create data sets and collect video series, spend, impressions data for KPI tracking
Support media reporting via dashboards; Measure marketing performance and ROI from campaign analytics; Make recommendations on targeting strategy (segmentation, messaging, testing); Support subscription business including acquisition of new consumers, engagement with existing subscriber base and retention of subscription lifecycle
Provide advanced analytical support and multi-touch attribution to model consumer interactions with digital channels and conversion tracking, propensity and look-alike modeling
Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance
Develop frameworks, models, tools, and processes to institutionalize findings
Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of DPECP’s organization
Basic Qualifications:
7+ years of experience in an analysis, market research or consulting role
4+ years of experience managing a team
Experience in marketing analytics, especially measuring campaign effectiveness, defining and tracking KPIs. Experience with media reporting, subscription model and analytical support for user growth and retention
Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions
Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations
Ability to effectively partner across all levels and manage multiple projects with high standards
Ability to provide leadership in a fast-paced environment with the ability to empower others
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
Experience with programming languages (SQL, R, Python etc.)
Experience with advanced statistical data modeling and machine learning
Experience using data visualization reporting tools (e.g. Tableau)
Experience in consumer products, retail, publishing and digital products
Required Education:
BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar)
Preferred Education:
Master degree in business, mathematics, statistics, or economics
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives.
More specifically, you will:
Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models.
Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process.
Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts
Exceptional problem solving capabilities, including analytical, quantitative and statistical skills
Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning
Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty
Exposure to IoT technology
Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
***This position can be located at our corporate office in Dallas, TX or McLean, VA***
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives.
More specifically, you will:
Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments.
Conduct analysis and highlight significant patterns to increase customer and owner satisfaction.
Actively draw insights from data to create new sources of value.
Communicate results and ideas to business and technical teams.
Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing.
Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake.
Partner with the Product Teams to understand needs and incorporate findings.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Exceptional problem solving, analytical, quantitative, and statistical skills.
Experience in handling multiple contending priorities simultaneously.
Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive.
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization
Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments
Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
Four (4) years of professional experience
Experience in IoT analytics model development involving sensors and connected devices
Experience in model development involving distributed big data sets (Spark, Scala, Hadoop)
Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay!
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience.
Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance.
The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap.
The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity.
Responsibilities
Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business
Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization
Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
Own the domain and associated deep dive analytics.
Design, plan, and execute methodologies to measure successes of business initiatives.
Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization
Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis.
Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.)
Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
Qualifications
Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields
5+ years’ of professional experience in using data to facilitate business decisions
Extensive experience in BI/DW best practices
Experience in efficient manipulation and analysis of large data sets
Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc)
Exceptionally attentive to detail and embracing of teamwork
People-oriented; eager to build positive and productive relationships with a variety of stakeholders
Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Ability to shift priorities quickly, while maintaining a high degree of organization and control
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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.
Feb 01, 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.
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
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.
Feb 01, 2019
Full-time
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
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
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.
Feb 01, 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
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
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.
Feb 01, 2019
Full-time
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
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.
Slack is looking for interns to work alongside our data scientists for the summer of 2019. These internships are a unique opportunity for those that wish to gain hands-on experience working with data at a fast growing company. You will have the opportunity to join a collaborative group of data scientist who partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations.
Requirements:
Currently pursuing a degree in a quantitative field.
Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science.
Experience using R, Python, or SQL.
Excellent communication skills and the ability to tell a complete narrative using data.
Ability to connect data analysis to real business problems, in order to impact business performance.
Must be graduating December 2019 or later.
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Feb 01, 2019
Internship
Slack is looking for interns to work alongside our data scientists for the summer of 2019. These internships are a unique opportunity for those that wish to gain hands-on experience working with data at a fast growing company. You will have the opportunity to join a collaborative group of data scientist who partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations.
Requirements:
Currently pursuing a degree in a quantitative field.
Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science.
Experience using R, Python, or SQL.
Excellent communication skills and the ability to tell a complete narrative using data.
Ability to connect data analysis to real business problems, in order to impact business performance.
Must be graduating December 2019 or later.
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Feb 01, 2019
Full-time
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
Research at Stripe:
Stripe’s mission is to increase the GDP of the internet by helping forward-thinking businesses worldwide sell to anyone, anywhere in new ways. We believe there are too many barriers to doing business on the internet—and that the opportunities to do so are not equally distributed. Researchers at Stripe help lower barriers to success so that lack of access to technical, legal, or financial talent doesn’t prevent great ideas from becoming great businesses.
There’s still so much we have to learn at Stripe. What does it mean for people around the world to start up something they really believe in? What are the barriers people face when they’re trying to make their business successful? To support the next generation of global businesses, we need to immerse ourselves in our users’ experiences: to first reason about what users would like, and then to work backwards about what we should build. That’s where you come in—we’re looking for a diverse group of researchers from many disciplines, skills, backgrounds, and specialties to help us learn everything we need to know about building the modern, global, connected economy. You’ll join a small but quickly-growing research team at our offices in San Francisco, Seattle, or Dublin.
Are you excited by democratizing research and empowering an entire company to connect with businesses worldwide? Because that’s what we’re up to—we aren’t just doing our own work, we’re enabling people across all of Stripe (engineers, product managers, designers, everyone) to apply research skills to global problems. If you love scaling yourself and your expertise, we can give you the freedom and resources to do amazing things at Stripe.
The Research Team is growing within the Design Team — learn more about how the Design Team works and who you’d work with.
You will:
Build and scale best-in-class survey programs that help us stay connected to our users.
Be the company’s leading authority on survey tooling, design, methodology, and analysis.
Partner closely with Marketing and Data Science to create the infrastructure for standardizing in-product survey research and ongoing tracking surveys.
Establish training, best practices, and scalable consulting processes to ensure everyone at Stripe can ship world-class surveys and analyze them in a rigorous way.
You may be a fit if:
You’re a creative, bold, visionary builder—where other people see chaos, you see opportunity.
You’ve directed complex survey projects at scale—from ongoing tracking surveys to demographic assessments to cross-sectional product surveys.
You know best practices only matter if your partners across the company are on board—that’s why you love working closely with other teams (e.g., marketing, data science) to scale solutions that work for everyone.
You lose track of time when you’re thinking through sample characteristics, drafting immaculate survey questions, running SQL queries, and getting answers from your survey data.
You’ve built or supported internal survey solutions at your workplace.
Any combination of these qualities would make your application stand out:
You have an MA or PhD in a related field, like sociology, epidemiology, communications, psychology, or political science.
You know the ins and outs of different survey tools (e.g., Qualtrics, SurveyMonkey) and data analytics languages/platforms (e.g., SQL, R, Stata, Python).
You’ve built out survey UI or survey data infrastructure before.
You’re comfortable communicating with our user base: startup founders and business professionals.
You should include these in your application:
Your CV or LinkedIn profile.
A few words about why Stripe is interesting to you.
Feb 01, 2019
Full-time
Research at Stripe:
Stripe’s mission is to increase the GDP of the internet by helping forward-thinking businesses worldwide sell to anyone, anywhere in new ways. We believe there are too many barriers to doing business on the internet—and that the opportunities to do so are not equally distributed. Researchers at Stripe help lower barriers to success so that lack of access to technical, legal, or financial talent doesn’t prevent great ideas from becoming great businesses.
There’s still so much we have to learn at Stripe. What does it mean for people around the world to start up something they really believe in? What are the barriers people face when they’re trying to make their business successful? To support the next generation of global businesses, we need to immerse ourselves in our users’ experiences: to first reason about what users would like, and then to work backwards about what we should build. That’s where you come in—we’re looking for a diverse group of researchers from many disciplines, skills, backgrounds, and specialties to help us learn everything we need to know about building the modern, global, connected economy. You’ll join a small but quickly-growing research team at our offices in San Francisco, Seattle, or Dublin.
Are you excited by democratizing research and empowering an entire company to connect with businesses worldwide? Because that’s what we’re up to—we aren’t just doing our own work, we’re enabling people across all of Stripe (engineers, product managers, designers, everyone) to apply research skills to global problems. If you love scaling yourself and your expertise, we can give you the freedom and resources to do amazing things at Stripe.
The Research Team is growing within the Design Team — learn more about how the Design Team works and who you’d work with.
You will:
Build and scale best-in-class survey programs that help us stay connected to our users.
Be the company’s leading authority on survey tooling, design, methodology, and analysis.
Partner closely with Marketing and Data Science to create the infrastructure for standardizing in-product survey research and ongoing tracking surveys.
Establish training, best practices, and scalable consulting processes to ensure everyone at Stripe can ship world-class surveys and analyze them in a rigorous way.
You may be a fit if:
You’re a creative, bold, visionary builder—where other people see chaos, you see opportunity.
You’ve directed complex survey projects at scale—from ongoing tracking surveys to demographic assessments to cross-sectional product surveys.
You know best practices only matter if your partners across the company are on board—that’s why you love working closely with other teams (e.g., marketing, data science) to scale solutions that work for everyone.
You lose track of time when you’re thinking through sample characteristics, drafting immaculate survey questions, running SQL queries, and getting answers from your survey data.
You’ve built or supported internal survey solutions at your workplace.
Any combination of these qualities would make your application stand out:
You have an MA or PhD in a related field, like sociology, epidemiology, communications, psychology, or political science.
You know the ins and outs of different survey tools (e.g., Qualtrics, SurveyMonkey) and data analytics languages/platforms (e.g., SQL, R, Stata, Python).
You’ve built out survey UI or survey data infrastructure before.
You’re comfortable communicating with our user base: startup founders and business professionals.
You should include these in your application:
Your CV or LinkedIn profile.
A few words about why Stripe is interesting to you.
Build the foundations for understanding Stripe.
Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year.
With all this data, the Data Science team is looking for talented engineers to help us manage business critical data leveraged across the entire organization. If you are data curious, excited about designing data pipelines, and motivated by having impact on the business, we want to hear from you.
Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Engineering and Business to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s products are being used and how we can better serve our customers.
You will:
Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across Stripe
Design, develop, and own data pipelines and models that power internal analytics for product and business teams
Help the Data Science team apply and generalize statistical and econometric models on large datasets
Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Stripe product evolves
Develop strong subject matter expertise and manage the SLAs for those data pipelines
Some things you might work on:
Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Atlas, or Sigma
Build data pipelines that track our marketing funnel from visits to onboarding to active usage of Stripe
Work on our centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics
Improve our data visualization tooling and platform at Stripe to help the team create dynamic tools and reporting
Our stack spans tools in Scala, Python, R, Javascript, React, SQL
You might be a fit for this role if you:
5+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis.
Have a strong engineering background and are interested in data
Have prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…)
Have an inquisitive nature in diving into data inconsistencies to pinpoint issues
Knowledge of a scientific computing language (such as R or Python) and SQL
The ability to communicate cross-functionally, derive requirements and architect shared datasets
You should include these in your application:
A resume and LinkedIn profile
Feb 01, 2019
Full-time
Build the foundations for understanding Stripe.
Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year.
With all this data, the Data Science team is looking for talented engineers to help us manage business critical data leveraged across the entire organization. If you are data curious, excited about designing data pipelines, and motivated by having impact on the business, we want to hear from you.
Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Engineering and Business to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s products are being used and how we can better serve our customers.
You will:
Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across Stripe
Design, develop, and own data pipelines and models that power internal analytics for product and business teams
Help the Data Science team apply and generalize statistical and econometric models on large datasets
Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Stripe product evolves
Develop strong subject matter expertise and manage the SLAs for those data pipelines
Some things you might work on:
Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Atlas, or Sigma
Build data pipelines that track our marketing funnel from visits to onboarding to active usage of Stripe
Work on our centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics
Improve our data visualization tooling and platform at Stripe to help the team create dynamic tools and reporting
Our stack spans tools in Scala, Python, R, Javascript, React, SQL
You might be a fit for this role if you:
5+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis.
Have a strong engineering background and are interested in data
Have prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…)
Have an inquisitive nature in diving into data inconsistencies to pinpoint issues
Knowledge of a scientific computing language (such as R or Python) and SQL
The ability to communicate cross-functionally, derive requirements and architect shared datasets
You should include these in your application:
A resume and LinkedIn profile
