Senior Product Data Scientist, Pixel

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation Engineering, Business Skills, Cloud Computing, Cloud Storage, Construction, Consulting, Consumer Electronics, Cross-Functional, Customer Churn, Customer Service Management, Data Management, Data Science, Economics, Ecosystems, English Language, Entrepreneurship, Equal Employment Opportunity (EEO), Experiment Design, Field Sales, Financial Services, Fonts, Genetics, Leadership, Machine Learning, Management Strategy, Marketing Strategy, Mathematics, Mentoring, Network Administration/Management, Network Operations Center, Operations Management, Performance Analysis, Performance Metrics, Performance Tuning/Optimization, Physics, Predictive Modeling, Product Engineering, Product Management, Product Strategy, Product Support, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Reporting Dashboards, SQL (Structured Query Language), Sales, Smartphones, Software Development, Software Engineering, Statistical Modeling, Statistics, Stock Purchase Plans, Systems Administration/Management, Technical Consulting, Technology Analysis
LOCATION
Mountain View, CA
POSTED
2 days ago

Senior Product Data Scientist, Pixel - Google Careers

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Senior Product Data Scientist, Pixel

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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Minimum qualifications:

  • Bachelor"s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master"s degree.

  • Experience consulting, and applying statistical modeling or machine learning techniques to product or business problems.

Preferred qualifications:

  • Master"s degree in Statistics, Mathematics, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Experience presenting analytical findings and strategic narratives to executive leadership and cross-functional stakeholders.

About the job

As a Senior Product Data Scientist, you will join the Pixel Data Science team, acting as a critical thought partner to product, engineering, and executive leaders within the centralized devices and services organization. You will leverage data, advanced statistical modeling, and business acumen to drive critical product decisions and optimize performance for Google Pixel phones, watches, and earbuds.

In this role, you will lead end-to-end analytical work streams, build causal models to understand user engagement, and perform analysis on core Pixel technologies like AI and Gemini. If you are strategic, entrepreneurial minded, and passionate about leveraging data to influence the direction of hardware products, we want to hear from you.

The Google Pixel team focuses on designing and delivering the world"s most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

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

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Partner cross-functionally with Product Management, Strategy, Marketing, Sales, and Executive teams to translate complex business and product challenges into analytical solutions.
  • Perform in-depth analyses and experiment design across key Pixel product areas, including camera, Gemini, and AI features, to identify strategic improvement opportunities.
  • Build predictive and causal models to understand user engagement, churn, and loyalty patterns across the Pixel ecosystem.
  • Develop and maintain end-to-end data pipelines, predictive workflows, and automated analytical dashboards to track and report on key performance indicators at scale.
  • Mentor junior data scientists and lead the development of AI agents and custom analytical tools to scale team capabilities.

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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