Business Data Scientist Intern, PhD, Summer

Share Business Data Scientist Intern, PhD, Summer 2027

Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early.

Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based Interns. Benefits for this role include:

• 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

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
Ann Arbor, MI, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA;
Bellevue, WA, USA;
Cambridge, MA, USA;
Chicago, IL, USA;
Irvine, CA, USA;
Kirkland, WA, USA;
Los Angeles, CA, USA;
Madison, WI, USA;
New York, NY, USA;
Palo Alto, CA, USA;
Portland, OR, USA;
Pittsburgh, PA, USA;
Raleigh, NC, USA;
Durham, NC, USA;
Reston, VA, USA;
Redmond, WA, USA;
Redwood City, CA, USA;
San Diego, CA, USA;
Goleta, CA, USA;
San Bruno, CA, USA;
Seattle, WA, USA;
San Francisco, CA, USA;
San José, CA, USA;
Santa Cruz, CA, USA;
South San Francisco, CA, USA;
Sunnyvale, CA, USA;
Washington D.C., DC, USA
.

• 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).

• 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.
• Experience leveraging data insights into storytelling for business stakeholders.
• Experience in controlled experiment design and causal inference methods.
• Ability to prioritize requests and partner well in an environment with competing demands from stakeholders.

As a Business Data Scientist, you will be a subject matter specialist for translating business problems from your supported organization or functional area into analytical solutions and insights. You will provide technical mentorship in delivering project…