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Google Business Data Scientist Intern PhD Summer 
United States, California, Mountain View 
581076412

19.11.2024
Info Please complete your application before November 22nd, 2024.Participation in the internship program requires that you are located in the United States for the duration of the internship program.This role may also be located in our Playa Vista, CA campus. 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.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.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; Cambridge, MA, USA; Bellevue, WA, 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; Sunnyvale, CA, USA; Washington D.C., DC, USA; Santa Cruz, CA, USA.

Please complete your application before November 22nd, 2024.

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

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

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).

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):

  1. In the “Resume Section:” attach an updated CV or resume.
    • Please ensure you’ve listed your anticipated graduation date (in MM/YY)
  2. 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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
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 (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).

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.
  • 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.