Google is hiring for Software Engineer

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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).

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.