Research Data Scientist, Operations Data Science

The application window will be open until at least April 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Thornton, CO, USA; Addison, TX, USA . Minimum qualifications:

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

Preferred qualifications:

• 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 a PhD degree.
  
  

About The Job

Operations Data Science (ODS) is a team of analysts who support data-driven decisions to scale capacity optimally for all of Google. Within ODS our forecasting and capacity planning functions span Resource Efficiency Data Science (forecasting and planning models for product area capacity planning) and Fleet Forecasting (machines and long-term busy power forecasting). Our goal is to develop tools to support self-driving automation of fleet capacity planning through smart location-specific predictive analytics of resource capacity requirements.

You will contribute to the development of critical forecasting and capacity planning tools for Google, as well as other resource efficiency initiatives. Through this work you will not only help Google run as efficiently as possible, but you will also help us to advance the state of the art in statistical forecasting for resource planning.

As a member of the Resource Efficiency Data Science team, you will apply operations research and statistical methods to solve challenges related to compute, storage, network, and data center capacity for both Google’s internal services and Google Cloud Platform. You will work broadly across Google’s Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams to optimize our deployment of resources and drive innovation in our software stack, allowing for efficient use of resources.

The US base salary range for this full-time position is $147,000-$211,000 + 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 product area resource planning.
• Lead projects with analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
• Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact. Identify and communicate the challenges and opportunities that the group should be working on.
• Help define the analytical direction and influence the direction of the associated engineering and infrastructure work.
• Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .