Data Scientist, Product Intern, MS, Summer

Please complete your application before October 9, 2026.

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 Master's 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 Jose, CA, USA;
Santa Cruz, CA, USA;
South San Francisco, CA, USA;
Sunnyvale, CA, USA;
Washington D.C., DC, USA
.

• Currently pursuing a Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.).
• Experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
• Experience articulating product questions, pulling data from datasets (SQL), and using statistics to arrive at an answer.
• Experience articulating product questions, pulling data from datasets (SQL or Python), and using statistics to arrive at an answer.
• Ability to translate analysis results into business recommendations.
• Interest and ability to work with data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
• Excellent problem-solving, written/verbal communication, and business judgment skills.

• 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 articulating product questions, pulling data from datasets (SQL or Python), and using statistics to arrive at an answer.
• Abil…