Data Scientist, Research Intern, PhD, Summer 2027

MINIMUM QUALIFICATIONS

• Currently pursuing a PhD degree in a quantitative discipline (e.g.,

statistics, biostatistics, physics, applied mathematics, operations research, economics).

• 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.).

PREFERRED QUALIFICATIONS

• Currently attending a degree program in the US and available to work full

time for 12 weeks outside of university term time.

• In their penultimate academic year or returning to a degree program after

completion of the internship.

• Ability to draw conclusions from data and recommend actions.
• Ability to take on a leadership role and take initiative.

• Interest in learning new techniques.

ABOUT THE JOB

At Google, data drives all of our decision-making. In the Data Scientist - Research role, you will work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you will mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. You will work with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely w