Senior Product Data Scientist, Developer

Senior Product Data Scientist, Developer and Experiences

1 day ago Be among the first 25 applicants

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
New York, NY, USA;
Seattle, WA, USA;
Sunnyvale, CA, USA.

• 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 work experience and a Master’s degree.

• Master'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).

The Developer and Experiences (D and

E) Data Science team's mission is to empower our organization to make informed, data‑driven product and strategy decisions. We support three main pillars: AI Developer Tools (including AI developer platform, AI hosted tools and AI developer agents), Frameworks and Languages (including Go, Dart, Flutter, and Genkit), and the Cloud SDLC experience.

In this role, you will closely partner with D and E Product, Engineering and Strat Ops teams to deliver actionable insights. Your work will directly influence product strategy and direction, ensuring we continually optimize and elevate the developer experience.

The US base salary range for this full‑time position is $156,000–229,000 plus bonus, equity, and benefits. Salary is determined by role, level, location, experience, and education.

• Translate ambiguous or open-ended problems into well‑scoped, quantifiable analytical projects.
• Define and own key product and business metrics and build dashboards to track them; ensure organizational OKRs are supported by well‑defined, measurable metrics.
• Lead in‑depth search analysis to uncover insights that improve product performance and developer experience.
• Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.
• Partner closely with Product, Engineering, Strat Ops and cross‑functional teams to influence, prioritize and support product strategy.
• Deliver effective presentations of data‑driven insights and recommendations to multiple levels of stakeholders.

Google is proud to be an equal‑opportunity workplace and is an affirmative‑action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

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