AdTechTalent
Data Science16 days agoOn-site

Google

Senior Data Scientist, Ads Insight and Measurement

data sciencemachine learningcausal inferencestatistical analysisPythonRSQLadvertisingad measurementGoogle Ads

Key details

Salary

From $174K

Employment type

Part-time

Seniority

Senior

Years experience

5-10

Location

Mountain View, United States

Full job description

Google's advertising measurement team seeks a senior Data Scientist with a Master's degree in a quantitative field and 5+ years experience (or PhD with 3+ years) in analytics, coding (Python, R, SQL), and statistical analysis. Responsibilities include developing and improving Google's advertising products across multiple platforms, collaborating with cross-functional teams, and innovating ad measurement and monetization methods with a focus on privacy. Preferred experience includes advanced causal inference methods, statistical data analysis, and applied machine learning. Compensation includes a salary range of $174,000 to $253,000 USD plus 15% bonus target and equity.

What you'll do

  • Develop, evaluate and improve Google's advertising products including Search, Display, Apps, TV and Video (YouTube)
  • Collaborate with engineers, analysts and product managers to develop new science and translate it into deployed products at scale
  • Develop new ideas and methods that drive ad measurement and monetization, including privacy-preserving ad-measurement science and products
  • Build and drive impact on large-scale ad-systems at Google and in the ad-tech and mar-tech industry globally

Requirements

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 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 3 years of work experience with a PhD degree
  • Preferred: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • Experience with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators
  • Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
  • Applied experience with machine learning on datasets

Tech stack

PythonRSQLmachine learningcausal inferencestatistical analysis

Benefits

15% bonus targetequitybenefits as described by Google

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