Job Description

Business Data Scientist

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 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). 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:

1. In the "Resume Section:" attach an updated CV or resume.
2. Please ensure you've listed your anticipated graduation date.
3. In the "Education Section:" attach a current or recent unofficial or official transcript in English.
4. Under "Degree Status," select "Now attending" to upload a transcript.

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.

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

Minimum Qualifications

• Currently pursuing a PhD degree in a quantitative discipline.
• Experience with statistical methods.
• Experience with statistical software and database languages.

Preferred Qualifications

• Currently attending a degree program in the US and available to work full 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.

As a Business Data Scientist, you will be a subject matter specialist for translating business problems from your supported organization or functional area into analytical solutions and insights. You will provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. You will create and implement reused and scaled solutions within the team's development process. You will collaborate with supported teams and win stakeholder trust by translating business needs into tractable analyses or evaluation metrics. You will work closely with product and engineering teams to analyze impact on product or Google-wide metrics (including daily activities, retention, churn).

The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities:

• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Design and analyze controlled experiments or counterfactual causal inference studies.
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.

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.

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