Senior Product Data Scientist, Developer and Experiences

Google • Kirkland, WA

23h • $156,000 - $229,000

About The Position

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 StratOps 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 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

• 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).

Nice To Haves

• 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).

Responsibilities

• Translate ambiguous or open-ended problems into well-scoped, quantifiable analytical projects.
• Define and own key product and business metrics, and build a dashboard to track them. Ensure organization Objectives and Key Results (OKRs) are supported by well-defined, measurable metrics.
• Lead the in-depth search analysis to uncover insights to improve product performances 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, StratOps 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level