Senior Data Scientist, Product, Google Play, Ads

Senior Data Scientist, Product, Google Play, Ads Join to apply for the Senior Data Scientist, Product, Google Play, Ads role at Google. 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, make critical recommendations for fellow Googlers in Engineering and Product Management, and communicate findings from minute‑by‑minute analysis to team leaders. 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. From Google Ads to Chrome, Android to YouTube, engineers are changing the world one technological achievement after another. The US base salary range for this full‑time position is $156,000–$229,000 plus bonus, equity and 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. Minimum Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. Preferred Qualifications Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience in advertising and ad ranking. Responsibilities Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open‑ended ambiguous business problems to reach an optimal solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross‑functional/organizational leadership team. Translate analysis results into business insights or product improvement opportunities. Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development. Influence across teams to align resources and direction. Equal Employment Opportunity 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology and Engineering Location: Mountain View, CA. Referrals increase your chances of interviewing at Google by 2x. Get notified about new Senior Data Scientist jobs in Mountain View, CA. #J-18808-Ljbffr