Help suggest, guide, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer-facing teams. Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, targeting, bidding, etc., and develop and implement quantitative methods to answer those questions.
Find ways to 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 prototype analysis pipelines iteratively to provide insights at scale, and develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
Job description provided by Google.
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