Associate Data Scientist Internships
Associate data scientist internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, Banking & Financial Services, and Telecommunications, with Booz Allen Hamilton, TikTok, and Navy Federal Credit Union among the employers posting roles now.
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In this Role, You Will…
- Formulate and build statistical and machine learning models to evaluate system performance and analyze rare, high-consequence safety events.
- Process and analyze large-scale datasets using SQL, Python, or distributed data frameworks (Spark/Databricks) to extract actionable insights on vehicle behavior and operational risk.
- Apply advanced statistical methods (e.g., Poisson processes, GLMs, Bayesian inference, point process models, or spatial-temporal modeling) to evaluate safety-critical metrics.
- Collaborate with systems engineers and safety leads to translate complex quantitative models into rigorous mission assurance decisions.
Internship Requirements
- Currently pursuing a Master's or Ph.D. in Statistics, Data Science, Machine Learning, Computer Science, or a related quantitative engineering/scientific discipline.
- Enrolled in good academic standing at an accredited college or university throughout the internship.
- Expected to graduate between Fall 2027 and Summer 2028.
- Able to commit to a full-time, 12-week internship beginning in May/June 2027.
- Ability to relocate to the Bay Area, California, for the duration of the internship.
- Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox.
Qualifications
- Statistical Foundations: Deep understanding of probability theory, regression, Generalized Linear Models (GLMs), hypothesis testing, and Bayesian methods. Experience or coursework in spatial statistics, space-time models, point process models, or causal inference.
- Machine Learning & Modeling: Strong fundamentals in statistical modeling and ML (supervised and unsupervised learning, model validation, and metric evaluation).
- Data Manipulation & Querying: Proficiency with basic-to-intermediate SQL and Python for data querying, data cleaning, and statistical modeling (or alternative data packages such as Spark, dplyr, or R).
- Communication & Problem Solving: Demonstrated ability to break down ambiguous operational or system questions into structured statistical problems and clearly communicate complex quantitative findings to technical stakeholders.
Bonus Qualifications
- Large-Scale Data Processing: Experience querying, pipeline-building, and modeling massive datasets using Spark, Databricks, or cloud platforms.
- Rare-Event Modeling & Domain Experience: Familiarity with autonomous vehicles, transportation network companies (TNCs), quantitative safety/risk modeling, or fraud/rare-event detection.
- AI-Assisted Workflow & Tooling: Experience utilizing AI-assisted data analysis, modern coding agents, or LLM-driven research workflows to accelerate data exploration and model development.
About Zoox
Follow us on LinkedIn
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
In this Role, You Will…
- Formulate and build statistical and machine learning models to evaluate system performance and analyze rare, high-consequence safety events.
- Process and analyze large-scale datasets using SQL, Python, or distributed data frameworks (Spark/Databricks) to extract actionable insights on vehicle behavior and operational risk.
- Apply advanced statistical methods (e.g., Poisson processes, GLMs, Bayesian inference, point process models, or spatial-temporal modeling) to evaluate safety-critical metrics.
- Collaborate with systems engineers and safety leads to translate complex quantitative models into rigorous mission assurance decisions.
Internship Requirements
- Currently pursuing a Master's or Ph.D. in Statistics, Data Science, Machine Learning, Computer Science, or a related quantitative engineering/scientific discipline.
- Enrolled in good academic standing at an accredited college or university throughout the internship.
- Expected to graduate between Fall 2027 and Summer 2028.
- Able to commit to a full-time, 12-week internship beginning in May/June 2027.
- Ability to relocate to the Bay Area, California, for the duration of the internship.
- Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox.
Qualifications
- Statistical Foundations: Deep understanding of probability theory, regression, Generalized Linear Models (GLMs), hypothesis testing, and Bayesian methods. Experience or coursework in spatial statistics, space-time models, point process models, or causal inference.
- Machine Learning & Modeling: Strong fundamentals in statistical modeling and ML (supervised and unsupervised learning, model validation, and metric evaluation).
- Data Manipulation & Querying: Proficiency with basic-to-intermediate SQL and Python for data querying, data cleaning, and statistical modeling (or alternative data packages such as Spark, dplyr, or R).
- Communication & Problem Solving: Demonstrated ability to break down ambiguous operational or system questions into structured statistical problems and clearly communicate complex quantitative findings to technical stakeholders.
Bonus Qualifications
- Large-Scale Data Processing: Experience querying, pipeline-building, and modeling massive datasets using Spark, Databricks, or cloud platforms.
- Rare-Event Modeling & Domain Experience: Familiarity with autonomous vehicles, transportation network companies (TNCs), quantitative safety/risk modeling, or fraud/rare-event detection.
- AI-Assisted Workflow & Tooling: Experience utilizing AI-assisted data analysis, modern coding agents, or LLM-driven research workflows to accelerate data exploration and model development.
About Zoox
Follow us on LinkedIn
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Associate Data Scientist Internship Market
Who's Hiring
- Booz Allen Hamilton18
- TikTok5
- Navy Federal Credit Union5
- Meta4
- Garmin2
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Telecommunications
- Agriculture & Farming
- Electronics & Hardware
Tips for Your Associate Data Scientist Internship Search
Apply earlier than you think necessary
Large employers open summer cohort applications the preceding fall, often in August or September, and close them months before the start date. Smaller companies and co-op programs post much closer to their start dates. Check listings throughout the year so you catch each wave when it opens.
Build a project portfolio before you apply
Hiring teams for associate data scientist intern roles expect limited work history, so a GitHub repository with two or three documented, end-to-end projects carries more weight than a sparse employment section. Each project should name the tools, datasets, and methods you used and show a result the reviewer can actually examine.
Work your campus network alongside direct applications
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts at the same time widens the pool you reach beyond what shows up at any single fair.
Practice your technical screen out loud before you apply
Associate data scientist intern interviews typically include a technical or analytics screen covering SQL, Python, statistics, or machine learning fundamentals. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured internship programs at larger employers
Many large companies run dedicated data science or analytics internship cohorts designed to train people new to the field. These programs recruit early, often months ahead of the start date, and fill fast. Identify the ones that match your background and apply in the first wave rather than waiting for the posting to circulate widely.
Set your work-type filter before you start
On-site roles are 52% of the associate data scientist internships listed here, so the split between on-site and remote or hybrid is real and worth deciding upfront. Commit to what you can actually take, then filter by location and work type on Migrate Mate so you're only reviewing roles you're able to accept.
Associate Data Scientist Internships: Frequently Asked Questions
How do I get an associate data scientist internship?
Lead with coursework, personal projects, and a portfolio rather than work history, since hiring teams expect limited experience at the intern level. A GitHub repository with documented analyses or end-to-end projects gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an associate data scientist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, available headcount on the team, and return-offer timelines that vary by company. Treat the internship as a showcase of what you can deliver rather than counting on a standing offer at the end.
When should I apply for associate data scientist internships?
Earlier than most expect. Large employers recruiting summer cohorts often open applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post much closer to their start dates, so openings appear year-round. Checking listings regularly means you won't miss waves that open and close quickly.
Are associate data scientist internships paid?
Most professional associate data scientist internships in the United States are paid. Compensation varies by company size, industry, and location, so it isn't uniform across the market. Where employers choose to disclose pay, the listing will show it, letting you compare opportunities directly before you apply.
What should an associate data scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods you used, and link to the work directly, whether that's a GitHub repository, a published analysis, or a written case study. Add relevant coursework in statistics, machine learning, or programming. Keep the whole document to one page.
Are there remote associate data scientist internships?
Yes. Remote and hybrid roles make up 48% of the associate data scientist internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early once you find a fit. Use the work-type filter to see only the format you can commit to.
Can international students get associate data scientist internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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