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Business Data Scientist Intern, PhD, Summer 2025

Google is a global technology company that specializes in internet-related services and products.
Mountain View, CA, USAAnn Arbor, MI, USA
$85,000 - $109,000
Data
Software Engineering Intern
In-Person
AI · Enterprise SaaS
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Description For Business Data Scientist Intern, PhD, Summer 2025

Google is seeking a Business Data Scientist Intern for Summer 2025. This PhD internship is designed for students in their penultimate academic year, pursuing a quantitative discipline. As an intern, you'll work on translating business problems into analytical solutions, providing technical mentorship, and implementing data science solutions. You'll analyze large datasets, design experiments, and create impactful insights for various Google teams. The role requires strong statistical skills, experience with data analysis tools, and the ability to communicate complex findings to stakeholders. This is an opportunity to contribute to Google's data-driven decision-making processes and gain valuable experience in a leading tech company. The internship offers competitive compensation and the chance to work on projects that impact millions of users worldwide.

Last updated 8 months ago

Responsibilities For Business Data Scientist Intern, PhD, Summer 2025

  • Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods
  • Build and prototype analysis pipelines iteratively to provide insights at scale
  • Design and analyze controlled experiments or counterfactual causal inference studies
  • Interact cross-functionally, making business recommendations with effective presentations
  • Develop and automate reports, and iteratively build and prototype dashboards

Requirements For Business Data Scientist Intern, PhD, Summer 2025

Python
  • 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)

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