Senior Research Data Scientist, Resource Planning, Cloud
Google Inc.
- United States
- United States
About
Sunnyvale, CA, USA Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of 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. 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (Python, R). Preferred qualifications:
PhD in Operations Research, Industrial Engineering, Statistics or related field. 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. 4 years of work experience (e.g., as a data scientist), including applying advanced analytics to planning and infrastructure problems. Experience designing and building machine learning and statistical forecasting models. Excellent problem-framing, problem-solving, project management, customer service, and team collaboration skills About the job
In this role, you will apply operations research and statistical methods to solve challenges 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. You will think critically and strategically about Google’s cloud as a technology, a business, and as an operation. You will be discussing total cost of management with hardware engineers, resource optimization with software engineers, or reviewing fleet plans and deployment policies with operations executives, all based upon the analytical models that you will be developing. You will contribute to the development of critical forecasting and capacity planning tools for Google storage product, 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. The US base salary range for this full-time position is $166,000-$244,000 + 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. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Languages
- English
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