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Google Data Scientist Research PhD Early Career Start United States, California, Mountain View 489117467
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
- 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.
Preferred qualifications:
- Experience 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 with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
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