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Data Scientist, Research, YouTube Ads User Experience

Google

$141,000 - $202,000
Nov 6, 2025
Mountain View, CA, United States of America
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Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Requirements

  • coding (e.g., Python, R, SQL)
  • querying databases
  • statistical analysis
  • Knowledge of Ads systems, including auction, serving, and ads quality.
  • Knowledge of ML, constrained optimization theory and causal inference.
  • Strong analytical skills, mathematical background, and statistical modeling.

Responsibilities

  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
  • Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Other

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems
  • PHD in mathematics, statistics, or computer science.
  • 5 years of work experience using analytics to solve product or business problems
  • Experience and strong interest in understanding, measuring, and improving end user experience.