Senior Research Data Scientist, Operations Data Science
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
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. About the job
Operations Data Science is a team of Data Science experts, who
provide model-based decision support to grow Google's Technical
Infrastructure systematically. If you like using data, metrics,
forecasts, statistics, operations research, insights and executive
level business communications to guide budget decisions on Google's
Technical Infrastructure, then you should consider joining
Operations Data Science (ODS) as a Data Scientist. 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 about benefits at Google . Responsibilities Develop, maintain,
support, and enhance custom forecasting and capacity planning tools
for Google’s Datacenter infrastructure. Drive the analysis and
modeling, drawing from multiple analytical methods and choose the
right method and level of detail appropriate for the business
challenges. Engage to identify, prioritize, frame, and structure
the challenges, where data science projects or tools can have the
impact. Collaborate with cross-functional stakeholders to
understand their business needs and frame analytical problems.
Articulate business questions and use mathematical techniques to
arrive at an answer using data. Translate analysis results into
business recommendations supported by technical documentation and
presentations. Measure business outcomes driven from the
recommendations, identify and communicate the challenges,
opportunities, and automation that the group should be working
on.
Keywords: Google, Sunnyvale , Senior Research Data Scientist, Operations Data Science, Energy / Utilities , Sunnyvale, California
