Research Data Scientist, Ads Insights

Google•Mountain View, CA
•$147,000 - $210,000

About The Position

Google’s advertising measurement team combines data at scale with formal science to make advertising useful and delightful for users, and valuable and results-driven for advertisers and publishers. As a Data Scientist working on Ads Insights, you will develop ideas and methods that drive business generation, including products for the privacy-preserving future of digital advertising. The role contributes to large-scale advertising systems at Google and across the global ad-tech and mar-tech industry.

Requirements

  • Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • At least 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis; alternatively, a PhD degree.

Nice To Haves

  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.

Responsibilities

  • Help suggest, guide, and shape data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams.
  • Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, targeting, and bidding, and develop and implement quantitative methods to answer them.
  • Combine large-scale experimentation, statistical-econometric, machine-learning, and social-science methods to answer business questions at scale.
  • Use causal-inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer questions using data.
  • Build and iteratively prototype analysis pipelines to provide insights at scale, develop comprehensive knowledge of Google data structures and metrics, and advocate for changes where needed for product development.

Benefits

  • 15% bonus target
  • Equity
  • Benefits
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