Research Data Scientist, Ads Insight and Measurement

What you'll do

• Develop, evaluate and improve Google's advertising products including Search, Display, Apps, TV and Video (YouTube)
• Collaborate closely 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 facilitate agreements
• Contribute to paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising
• Build and drive impact on large-scale ad-systems at Google and in the ad-tech and mar-tech industry globally
• Leverage quantitative methodologies and causal inference methods to solve business problems
• Work cross-functionally in a science-driven organization

Requirements

• 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, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
• Applied experience with machine learning on large datasets
• Familiarity with causal inference methods such as split-testing, instrumental variables, fixed effects regression, panel data models, regression discontinuity, matching estimators

Tech stack

Benefits