Data Scientist, University Graduate, PhD, 2024
- Bangalore, Karnataka
- Permanent
- Full-time
- PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, a similar quantitative discipline, or equivalent practical experience.
- Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
- Experience with data, quantitative methodologies with statistics and causal inference methods.
- Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Ability to teach others and learn new techniques such as differential privacy.
- Ability to select the right statistical tools given a data analysis problem.
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecast, and optimize methods to improve the quality of Google's user facing products such as ads quality, search quality, end-user behavioral modeling and live experiments.
- Help suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with Engineering, Product and customer-facing teams.
- Find ways to combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.