Job Description

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 in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + Experience with computer hardware or sustainability. 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. In this role, you will lead data modeling and forecasting efforts for our AI/ML software footprint. This includes collaborating with internal teams to gather, analyze, and interpret data related to AI/ML software usage, resource consumption, energy consumption, and carbon emissions. You will develop robust modeling methodologies that accurately estimate the carbon emissions of AI/ML software. You'll help identify key factors, such as model complexity, training data volumes, and deployment patterns to identify and highlight opportunities for emissions reductions. You will also develop metrics to evaluate and prioritize AI/ML emissions reductions projects. 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 ( . + Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use custom data infrastructure or existing data models. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality. + Report Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. + Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance. + Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics. 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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Job Tags

Full time, Work experience placement, Local area, Worldwide,

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