Senior Product Data Scientist, Google Ads

Senior Product Data Scientist, Google Ads _corporate_fare_ Google _place_ San Francisco, CA, USA; Kirkland, WA, USA; +3 more; +2 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Francisco, CA, USA; Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 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 of work experience with a Master's degree). **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long-term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of the ads platform in delivering optimal performance for advertisers. + Investigate fundamental business and product strategy questions, deliver deep insights on specific topics and areas to provoke new feature/product ideas, identify new interventions to drive advertiser value and business impact, identify key drivers of success and anticipate future trends. + Design and evaluate experiments to help the team understand how product changes affect advertiser performance. + Steward our metrics ecosystem that captures the incremental impact the AP team delivers for Google’s business and our advertisers. 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