Senior Data Scientist, Research, Operations Data Science

Senior Data Scientist, Research, Operations Data Science

Google San Francisco, CA, USA ; New York, NY, USA ; +1 more

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X Applicants in San Francisco : Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note : By applying to this position you will have an opportunity to share your preferred working location from the following : San Francisco, CA, USA; New York, NY, USA; Sunnyvale, CA, USA .

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.

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 :

About the job

Operations Data Science (ODS) is a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.

In this role, you will lead data modeling and estimation efforts for our Google Cloud Carbon Footprint product. You will collaborate with internal teams to gather, analyze, and interpret data related to Google Cloud software usage, resource consumption, energy consumption, and carbon emissions. You will work to enhance the value of the Google Cloud Carbon Footprint by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects. You will build problem-solving tools to clearly identify energy and carbon-savings opportunities for customers. Additionally, you will quantify the opportunity size of potential Cloud carbon-efficiency projects and prioritize these to build Cloud features that help customers reduce their emissions.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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.

Responsibilities

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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