Business Data Scientist Intern, PhD, Summer 2027
Hybrid (Mountain View, CA; Ann Arbor, MI)$118k - $157kinternPosted 1mo ago
About the role
Internship for PhD students in a quantitative discipline to translate business problems into analytical solutions, mentor and implement data science solutions, and work with product and engineering to analyze impact.
Responsibilities
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
- Interact cross-functionally, making 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.
- Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of business, product, or go-to-market initiatives.
Qualifications
- Currently pursuing a PhD degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
- Experience with statistical methods (i.e., linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL).
Benefits
- Health, dental, vision insurance
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Holidays: 13 paid days per year
Last updated Oct 23, 2026. Interested? Apply on the company site.
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