Help us maintain the quality of jobs posted on PowerToFly. Let us know if this job is closed.
Job Type
Full Time
Job Details
Minimum qualifications:
- 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.
- Experience with machine learning on large datasets.
- Ability to draw conclusions from data and recommend actions.
- 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.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more