Google is looking to solve product or business problems in advertising product creation, development, and improvement, bringing a deep, data-driven appreciation for the behaviors of the end user and the ecosystem.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of 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.
- PhD degree in a quantitative discipline.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
- Ability to select the right statistical tools to solve a data analysis problem.
- Experience with differential privacy
Responsibilities
- Support 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.
- 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 strategic questions using data.
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- Excellent communication skills, with a passion for practical application of science to business.
- Ability to both teach others and learn new techniques with excellent leadership and self-initiation.
- Passion for business problems and an interest in combining data and strategy.
- US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
