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Google Data Scientist Product Intern MS Summer 
United States, California, Mountain View 
385924350

19.11.2024

שיתוף

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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 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.This role may also be located in our Playa Vista, CA campus.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; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, 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 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).

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.

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

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 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 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 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 and written/verbal commutation skills, with excellent business judgment.

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