Data Scientist Research Intern (PhD) | Summer 2027

Google; Chicago (IL); On-site; USD 118,000 - 157,000; Full time

Job summary

Google offers a Data Scientist - Research Internship for Summer 2027. You will work across the organization to process, analyze, and interpret large data sets, shaping Google's business and technical strategies.

A PhD in a quantitative field and proficiency in R/Python are required, with US-based location for the duration of the internship. Responsibilities include building analysis pipelines, collaborating with engineers and product teams, and presenting insights to stakeholders.

Qualifications

• Pursuing a PhD in a quantitative discipline.
• Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
• Experience with data analysis.
• Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).

Responsibilities

• 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.
• Interact cross-functionally with engineers, product managers, sales and marketing teams.
• Make business recommendations with effective presentations of findings to stakeholders.
• Research and develop analysis, forecasting, and optimization methods to improve Google products.

Skills

PhD in quantitative field

Statistical methods

Data analysis

R or Python

Education

PhD candidate in quantitative discipline

Tools

R

Python

SAS

Job description

Google offers a Data Scientist - Research Internship for Summer 2027. You will work across the organization to process, analyze, and interpret large data sets, shaping Google's business and technical strategies.

A PhD in a quantitative field and proficiency in R/Python are required, with US-based location for the duration of the internship. Responsibilities include building analysis pipelines, collaborating with engineers and product teams, and presenting insights to stakeholders.