Senior Product Data Scientist, Geo Developer and Sustainability

Exl

Mountain View, CA

Full Time

Senior

156k-229k

8 days ago

Job Description

About the Role

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. The Geo Developer and Sustainability team's mission is to apply data science to enable Geo in driving developer growth and planetary sustainability. We enable driven decision making across the Geo Makers organization to influence strategy, drive impact and unlock sustainable product growth by enabling insights, supporting strategic bets, and building self-serve data solutions in partnership with our data engineering platform team.

Key Responsibilities

Design, develop and enhance metrics to provide a comprehensive view of developer behavior across developer engagement surfaces.
Own and operate high visibility organizational KR metrics - set data-driven targets, develop forecasting models to predict growth, and assess impact of high-priority growth initiatives and develop a long-term plan for enhancing Geo Developer's attribution methodologies.
Collaborate on investigative projects, uncover insights to drive product enhancements and improve user experience (e.g., long tail developer pricing strategy to maximize engagement, maps and immersive product deep dives).
Utilize technology to address new problem areas with segmentation analysis, recommender systems and GenAI applications.
Build self-serve tooling and dashboards to enable data-driven decision making across the organization at scale.

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 with a Master's degree.

Nice to Have

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Qualifications

Formal educational background in a quantitative field as specified in requirements.

Benefits & Perks

US base salary range for this full-time position is $156,000-$229,000 plus bonus, equity, and benefits.
Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
Additional benefits are available, details can be shared during the hiring process.

Working at Exl

Our culture emphasizes data-driven decision making, collaboration, and impact through innovative data science solutions to support organizational growth and sustainability.

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