Senior Data Scientist, Search

Location

Mountain View, CA, USA;
San Francisco, CA, USA
.

Search has entered a new era. Users’ needs have moved beyond information‑seeking to problem‑solving, while competition from third‑party apps remains fierce. Growth is a top‑line goal for Search in this new era. The central Search growth data science team drives growth through data‑driven strategies, solving complex macro‑level and micro‑level problems through growth measurement methodology development, growth data product development, and growth‑related analysis and insights.

This is a high‑profile role with executive‑level visibility, involving all aspects of data science—from methodology to tooling—at both strategy and daily product development levels.

• Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases or performing statistical analysis; or 3 years of experience with a PhD.

• 8 years of experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases or performing statistical analysis; or 6 years of experience with a PhD.
• Experience applying classical statistical inference techniques to large‑scale data (e.g., variance reduction, Bayesian techniques) at or similar to Search’s scale.
• Experience building statistical predictive models on large‑scale data at or similar to Search’s scale.
• Experience partnering with engineering to build data products to scale best practices and improve operational efficiency.
• Experience presenting to senior leadership without a data science background.

• Search growth measurement methodology development (e.g., Empirical Bayes to conquer high uncertainty in live experiments, growth surrogates to connect short‑term live experiment signals with long‑term growth).
• Launch‑based growth analysis and insights, understanding different growth levers and their contributions to growth, and providing actionable insights on areas of investment.
• Work with third‑party data to understand the competitive landscape, reason through its strategic implications, and make data‑driven strategic action recommendations.
• Collaborate with the Search growth engineering team to develop growth data products that scale growth best practices and improve the efficiency of growth operations.

US: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits.

Learn more about benefits at Google.

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