Senior Data Scientist, Core Ranking and AI Context

• Work closely with engineers and product managers to identify quality and metric headrooms.
• Conduct rigorous analyses of large-scale datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to stakeholders.
• Develop evals and measurements to guide hillclimbing and iterative improvements. Automate such evals and measurements in collaboration with engineering and product.
• Be an integrated partner to impel system changes and launches.

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * 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 (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree., * 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
• Experience working on a consumer facing product or quality evaluations.
• Experience with experimental design and analysis, survey design, evaluation methodologies, statistical modeling and machine learning algorithms.
• Ability to convey complex information clearly and concisely, both verbally and in writing.
• Ability to apply quantitative models to real-world business problems.
• Ability to learn new skills and adapt to changing environments, including track record of self-directed learning and knowledge application.

The US base salary range for this full-time position is $174,000-$252,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .