Data Science Internship (Current PhD) Summer 2027

At Neighbor were building the largest hyperlocal marketplace the world has ever seen. Weve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash StockX and Uber. Our marketplace is already flourishing in all 50 states and were just getting started!

Were excited to add a Data Scientist Intern to our Data & Analytics team. Youll work on the machine learning models we already run in production including lifetime value unit economics and forecasting making them more accurate and showing with evidence that theyve improved. Youll also help Product Marketing and Sales divisions design A/B tests and interpret the results. Your work feeds directly into decisions across a marketplace that operates in nearly every U.S. city. This is a great fit for a PhD student who wants to apply their research skills to live business problems. Youll report to our Data & Analytics manager with regular code review and hands-on mentorship.

Our stack: Python dbt and Dagster on Redshift and Athena with a Cube semantic layer and Superset for BI.

The Problems Youll Solve

• Improve our lifetime value and unit economics models. Retrain them re-engineer their features and validate their predictions against realized outcomes.
• Audit inherited models: find the leakage the stale hardcoded assumption the segment where performance quietly falls apart and the feature thats doing less work than everyone believes.
• Build forecasts our operators actually plan against: demand and supply by market revenue and the levers that move them.
• Partner with Product Marketing and Sales to design tests before they launch. Catching an underpowered test in the design review is worth more than any analysis you can do afterward.
• Analyze results and make a call and be candid about what each design can and cant identify
• Become a subject matter expert on Neighbors product users and marketing life cycle. The modeling is the easy part; knowing which features mean something is the hard part.

Qualifications

• PhD-level candidate currently enrolled in a quantitative field (Computer Science Statistics Math Physics Data Science etc.) completing your PhD by May of 2028; transcript required
• Demonstrated research coursework or project experience applying statistics and machine learning to real-world or complex datasets
• Strong SQL and fluent Python for modeling are required; experience with dbt or semantic layers like Cube is a big plus but were happy to train you on our specific transformation stack
• Academic or project-based experience with A/B testing design or statistical hypothesis testing
• Real grounding in inference not just fitting: you can explain what your confidence interval means why the p-value moved when you added a second metric how leakage sneaks into a validation split and when you dont have the data to answer the question
• Strong problem-solving mindset and eagerness to diagnose and improve existing code and statistical models
• Intellectual stubbornness in a productive direction: you keep pulling on a thread when the numbers dont reconcile and you dont ship an explanation you dont believe
• Clear communication with non-technical stakeholders: you can explain a result and its uncertainty without either overclaiming or hiding behind jargon

About Neighbor:

Neighbor is the largest and most comprehensive marketplace for self storage and parking with listings in almost every U.S. city. From storage facilities to neighborhood garages driveways and RV spots Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing VC-backed tech startup. You will be part of a an extremely talented hardworking and passionate team committed to changing the world one neighbor at a time.

Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed connect with us via email at emailprotected. Check out our careers page to get to know us better as you think about your next step at Neighbor!

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.

Required Experience:

Intern