Staff Data Scientist, Ads Insights and Measurement

Google is seeking a Staff Data Scientist to join their Ads Insights and Measurement team. This role combines advanced analytics, statistical expertise, and business acumen to drive advertising effectiveness and product improvements. As a Staff Data Scientist, you'll work with large-scale data sets to solve complex problems and provide actionable insights that shape Google's advertising products.

The position requires deep expertise in statistical analysis, causal inference, and programming skills in languages like Python, R, and SQL. You'll collaborate with cross-functional teams, including Engineers and Product Managers, to identify opportunities and assess improvements for advertising measurement products. The role involves developing and implementing quantitative methods to answer critical questions about advertising effectiveness, incrementality assessment, privacy impact, user behavior, and brand building.

The ideal candidate should have at least 8 years of experience (or 6 with a PhD) in using analytics to solve product or business problems. Strong background in statistical methods, including linear models, multivariate analysis, and sampling methods is essential. Experience with structural econometric methods and translating analysis results into business recommendations is highly valued.

At Google, you'll be part of a team that drives all decision-making through data. You'll have the opportunity to work on challenging problems that directly impact Google's business and technical strategies. The role offers the chance to work with cutting-edge technology and massive datasets while collaborating with some of the brightest minds in the industry.

This position is perfect for someone who combines technical expertise with business acumen and can communicate complex findings to various stakeholders. You'll be instrumental in shaping Google's advertising products and contributing to the company's continued innovation in digital advertising measurement and effectiveness.