Data Scientist, Product Intern, MS, Summer 2026 at Google
Waterloo, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

08 Dec, 25

Salary

0.0

Posted On

09 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistical Packages, Statistics, Completion, Computer Science, Matlab, Mathematics, Stata, Sas, Datasets, Sql, Program Evaluation, Metrics

Industry

Information Technology/IT

Description

PLEASE COMPLETE YOUR APPLICATION BEFORE OCTOBER 31ST, 2025.

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 Canada 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.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

  • In the “Resume Section:” attach an updated CV or resume.
  • Please ensure you’ve listed your anticipated graduation date (in MM/YY)
  • In the “Education Section:” attach a current or recent unofficial or official transcript in English.
  • Under “Degree Status,” select “Now attending” to upload a transcript.

MINIMUM QUALIFICATIONS:

  • 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.

PREFERRED QUALIFICATIONS:

  • Currently attending a degree program in Canada 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 translate analysis results into business recommendations
  • Ability to work with data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.
  • Excellent business judgment, problem-solving, and written/verbal commutation skills.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Conduct data analysis to make business or product recommendations (i.e., cost-benefit, invest-divest, forecasting, impact analysis).
  • Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
  • Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
  • Help Google to focus on key decisions to improve products and services.
    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form
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