Staff Product Data Scientist, Pixel Growth, Google Store

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Model, Cloud Computing, Cross-Functional, Customer Churn, Customer Service Management, Data Science, Economics, Engineering Management, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Genetics, Home Care, LifeTime Value (LTV), Manufacturing, Mathematics, Metrics, Network Operations Center, Performance Analysis, Performance Metrics, Physics, Predictive Modeling, Pricing, Process Improvement, Product Support, Promotional Strategy, Prototyping, Python Programming/Scripting Language, Quality Engineering, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Return on Investment (ROI), SQL (Structured Query Language), Sales Management, Software Engineering, Statistics, Stock Purchase Plans, Structural Engineering, Technical Support, Thought Leadership, Training Data Sets, User Experience Design (UXD), User Interface/Experience (UI/UX), eCommerce
LOCATION
Mountain View, CA
POSTED
4 days ago

Staff Product Data Scientist, Pixel Growth, Google Store - Google Careers

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Staff Product Data Scientist, Pixel Growth, Google Store

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • Bachelor"s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master"s degree.
  • Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).

Preferred qualifications:

  • Master"s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.

About the job

The FIGS Data Science team is a team of 12+ data scientists that drive Google Fi and Google Store business and product decisions through measurement, experimentation, modeling, causal inference, and optimization.

Google Store is the first-party e-commerce site for Google"s expanding portfolio of hardware products and associated services. As the authoritative place to learn about and purchase Google"s hardware, our product range includes Pixel phones, Pixel Watch, Fitbit, Google Home and Health products, and accessories.

Within Google Store, you will join the newly formed Pixel Agentic Growth and Retention (AGR) team. Our mission is to drive growth for Pixel. Positioned at the intersection of ML/AI and exceptional user experiences, our goal is to prototype, experiment, and implement sophisticated, 0-to-1 growth frameworks that drive meaningful impact. As the AI and hardware spaces become increasingly engaged, Pixel Growth represents a strategic priority for Google. Come join us in defining this next phase of growth for Pixel!

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide investigative thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
  • Provide investigative thought leadership by developing the data science roadmap for Pixel Intelligence layer, focusing on reducing churn and optimizing our promotion strategy to deliver the right intervention to the right user at the right time.
  • Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
  • Define, measure, and report on Key Performance Indicators (KPIs) such as Net LTV extension, Return on Investment (ROI), and incrementality as part of regular business reviews.
  • Build predictive models integrating complex datasets. Partner with cross-functional teams to translate analytical recommendations into scalable, automated experiences and incentives.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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