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 who are currently pursuing a degree program in a quantitative discipline with an anticipated graduation date on or before June, 2024, depending on their program and unique circumstances.
To apply: You must submit all of the following materials when the role goes live:
In the “Resume Section:” attach an updated CV or resume – please include the relevant graduation dates for all your degrees (M/YY) along with details of proficiency in statistical software and database and coding language(s) along with any technical experience or projects.
In the “Education Section:” attach a current or recent unofficial or official transcript, must be in English
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; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chapel Hill, NC, 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; Reston, VA, USA; Redmond, WA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.
Minimum qualifications:
- Currently pursuing a degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
- Experience with data analysis.
- Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).
- Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
Preferred qualifications:
- Currently attending a degree program in the US with plans to return to the degree program after completion of the internship.
- Anticipated graduation on or before June 2024.
- Available to work full time for a minimum of 12 weeks outside of university term time.
- Ability to draw conclusions from data and recommend actions.
- Ability to take on a leadership role and take initiative.
- Interest in teach others and learn new techniques.
About the job
Join us for a unique 12-14 week internship during Summer 2023 with start dates in May or June. Applications will go live in late Fall 2022. Please set up an alert to get notified when the role goes live via Google.com/students.
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google’s business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. You will work with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate methodologies into existing systems.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Additional Information
(Colorado only*) Minimum full-time salary of $74,000 Please reach out to offer-help@ for non-salary compensation information.. *Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.
Responsibilities
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google’s user products.
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 and If you have a disability or special need that requires accommodation, please let us know by completing our .