Google is seeking a Senior Data Scientist to join their Ads Insight and Measurement team. This role combines advanced statistical analysis with business impact, focusing on improving advertising effectiveness and measurement. The position requires expertise in statistical modeling, machine learning, and causal inference methods to drive data-driven decisions in advertising and marketing products.
The ideal candidate will have extensive experience in quantitative analysis, with at least 10 years in statistical modeling and team management. They will work with large-scale data sets to shape Google's advertising strategies and products, ensuring privacy-preserving solutions while maximizing business impact. The role involves collaboration with Engineering, Product, and Customer-facing teams to define and answer complex questions about advertising effectiveness, incrementality assessment, and user behavior.
Key responsibilities include developing and implementing quantitative methods, conducting sophisticated analyses, and communicating results to business partners and executives. The position offers the opportunity to work with cutting-edge technology and data science methods while influencing Google's advertising products and strategies.
The role requires strong technical skills in statistical software and database languages, with experience in tools like Python, R, or MATLAB. A Master's degree in a quantitative field is required, with a PhD preferred. The successful candidate will combine technical expertise with business acumen to drive improvements in Google's advertising ecosystem.
This position offers the chance to work at one of the world's leading technology companies, with access to vast data resources and the opportunity to impact billions of users. The role is based in Bengaluru, India, and offers the opportunity to work with global teams and shape the future of digital advertising.