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Data Scientist III, Product

GoogleSan Francisco, CA, USA; Sunnyvale, CA, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years work experience and Master's degree.
  • Experience with AI/ML.

Preferred qualifications:

  • Master's degree of PhD in Statistics, Mathematics, Data Science, Physics, Economics, Operations Research, Industrial Engineering, Statistics, or a related quantitative field.
  • Experience in energy and climate domain or greenhouse gas accounting.
  • Experience designing and building statistical forecasting models.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

We are a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally. This team works cross-functionally to define and coordinate Net Zero strategy, develop and scale new solutions that accelerate decarbonization and serve as a point of technical coordination across Google on energy and carbon.

In this role, you will work closely with the Climate Operations team, who is responsible for ensuring that Google achieves Net Zero emissions and 24/7 carbon-free energy by 2030 for our global operations and value chain. You will use data science to help Google efficiently reduce its carbon emissions. This includes collaborating with internal teams to gather, analyze, and interpret data related to data center emissions, resource consumption, and manufacturing emissions.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $132,000-$189,000 + 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 estimation and forecasting tools for the energy-use and carbon-footprint of Google’s AI machine infrastructure.
  • Develop robust data pipelines and modeling tools that help Google improve its measurements and forecasts of carbon emissions.
  • Build optimizations and simulation tools to help Google develop a greenhouse gas reduction strategy that is robust to a range of possible future scenarios.
  • Drive analysis and modeling, drawing from multiple analytical methods and choosing the right method and level of complexity appropriate for the business challenges.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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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