Data Scientist, Research, Search Platforms
- Bangalore, Karnataka
- Permanent
- Full-time
- Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
- 10 years of experience in data science, statistics, or in a computational biologist/bioinformatician role.
- Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
- Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
- Experience translating analysis results into business recommendations.
- Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience selecting tools to solve data analysis issues.
- Experience articulating business questions and using available data to find a solution.
- Knowledge of structural econometric methods.
- Solve analysis problems, conduct analysis, data gathering, and requirements specification, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes for both products development and business activity.
- Interact cross-functionally with a wide variety of people and teams. Work with engineers to identify opportunities for design, and assess improvements to products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products.