Senior Data Scientist, Real World Journeys, Research, Search

Senior Data Scientist, Real World Journeys, Research, Search corporate_fare Google place Mountain View, CA, USA ; New York, NY, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline

X Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA .

Minimum qualifications:

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.

Preferred qualifications:

8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Excellent problem-framing, problem-solving and team collaboration skills. Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels. Excellent coding skills with the ability to understand and update production codes. About the job 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 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 . Responsibilities Partner with Product and Engineering teams of Real World Journeys to provide analytical thought leadership, support metrics research and advanced statistical analysis of user journeys on search. Collaborate cross-functionally with teams across Google Search, leading Search AI Mode experiences projects and future AI bets of Google Search, such as, Agentic Search. Lead Human Evaluations and Auto-rater evaluations for Product launches. Identify metric improvement areas, design new metrics and evaluation methods by working cross-functionally. Support teams with advanced experimentation methods, detecting user learning effects and drive actionable user insights from deep A/B testing metrics analysis.