Research Data Scientist, Operations Data Science
Research Data Scientist, Operations Data Science
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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.
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.
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