Data Scientist, Research Intern, PhD, Summer 2027

Google Inc.; Los Angeles (CA); On-site; USD 118,000 - 157,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Sick Time 40 hours/year

Holidays: 13 paid days/year

Job summary

Google is seeking a Data Scientist intern for Summer 2027, open to PhD candidates in the United States. This role involves processing, analyzing, and interpreting large data sets to inform business and technical strategies.

You will collaborate with engineers, product managers, sales, and marketing to convert findings into actionable improvements. The internship emphasizes learning new techniques and applying statistical methods to real-world problems, with a strong focus on data-driven decision

Qualifications

• Currently pursuing a PhD in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
• Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
• Experience with data analysis.
• Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).

Responsibilities

• Work across the organization to process, analyze, and interpret huge data sets.
• Mine through data to identify opportunities for Google and clients to operate more efficiently.
• Interact cross-functionally with engineers, product managers, sales, and marketing to adjust Google's practices according to findings.
• Identify problems and figure out solutions; build and prototype analysis pipelines for scalable insights.
• Develop forecasting and optimization methods to improve the quality of Google's user products.

Skills

Data analysis

Statistical methods

Leadership

Education

PhD in a quantitative discipline

Tools

R

Python

SAS

Job description

Data Scientist, Research Intern, PhD, Summer 2027

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Please complete your application before February 26, 2027.

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 PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

• In the “Resume Section:” attach an updated CV or resume.
• In the “Education Section:” attach a current or recent unofficial or official transcript in English.

• Please ensure you’ve listed your anticipated graduation date (in MM/YY)

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

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 PhD degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
• Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
• Experience with data analysis.
• Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).

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 draw conclusions from data and recommend actions.
• Ability to take on a leadership role and take initiative.

Interest in learning new techniques.

About the job

At Google, data drives all of our decision-making. In the Data Scientist - Research role, you will 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 will 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.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $118000 - $157000 (USD) + 0% bonus target

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.