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Senior Data Scientist, Product, Google Ads

Google

$156,000 - $229,000
Oct 23, 2025
New York, NY, United States of America
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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.

Requirements

  • 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 with a Master's degree.

Responsibilities

  • Define, develop, and steward the key success metrics for the organization, including measures of advertiser friction (e.g., Advertiser Policy Hours) and end-user harm (e.g., policy violating impressions).
  • Design, execute, and analyze A/B tests and other experiments to measure the impact of new features and policy changes on advertiser experience, user safety, and business outcomes.
  • Perform exploratory data analysis and opportunity sizing to uncover new strategies to reduce account takeover incidents, prevent financial losses, and improve the overall efficiency and recall of our safety platforms.

Other

  • Partner with Product Managers, Engineers, and other cross-functional teams to define the product strategy and roadmap for Advertiser Safety, using data-driven insights to identify and prioritize opportunities.
  • Act as a data advocate within the team, translating complex analytical findings into actionable recommendations and promoting a culture of data-driven decision-making.
  • Mountain View, CA, USA; New York, NY, USA
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.