Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience influencing product strategy and innovation with data science. 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 and make critical recommendations for your fellow Googlers in Engineering and Product Management. Your role involves bringing new users to vertical and international experiences, helping existing users maximize their experience, and scaling impact across verticals. In Google Search, we're reimagining information search, solving complex engineering challenges, and expanding our infrastructure to serve billions globally. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Salary ranges are role, level, and location-dependent. Details about specific ranges and benefits can be discussed with your recruiter. Responsibilities include: Perform analysis using tools like SQL, R, Python; solve business problems; own open-ended issues to find optimal solutions. Build processes, procedures, and tests to address future challenges. Report on KPIs to support business reviews; translate analysis into insights or product opportunities. Develop prototypes and business cases to provide scalable insights; advocate for data-driven product development. Influence cross-team resource alignment and strategic direction. Google is an equal opportunity employer committed to diversity and inclusion. We consider qualified applicants regardless of background or criminal history. For accommodations, contact us via our provided form. #J-18808-Ljbffr Google
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