Data Scientist, University Graduate, 2024
- Bangalore, Karnataka
- Training
- Full-time
- Master's degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
- Relevant internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.
- Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
- 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.