What's the tech stack?

Joblaze extracted these technologies from the posting: Athena, Cube, Dagster, Python, Redshift, Superset.

What seniority level is this role?

Neighbor targets intern candidates for this position.

Is this full-time or contract?

Internship for this Data Science Internship (Current PhD) - Summer 2027 role at Neighbor.

Data Science Internship (Current PhD) - Summer 2027 at Neighbor

Joblaze summary

The Data Science Intern at Neighbor will engage in refining and validating machine learning models that drive key business metrics, such as lifetime value and forecasting accuracy. Proficiency in Python and familiarity with tools like dbt and Dagster are essential, as the role involves hands-on data analysis and A/B testing support for various departments. This position is ideal for a current PhD student eager to apply academic research to practical challenges in a rapidly growing marketplace. The intern will benefit from mentorship and code reviews, fostering professional development within a collaborative team.

Joblaze insights

Listed 2 days ago — first seen on Joblaze September 29, 2026. Last confirmed on Neighbor's careers page October 1, 2026.

Quick facts

What's the tech stack?: Joblaze extracted these technologies from the posting: Athena, Cube, Dagster, Python, Redshift, Superset.
What seniority level is this role?: Neighbor targets intern candidates for this position.
Is this full-time or contract?: Internship for this Data Science Internship (Current PhD) - Summer 2027 role at Neighbor.

From the original posting

At Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve 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 we’re just getting started! We're excited to add a Data Scientist Intern to our Data & Analytics team. You'll 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 they've improved. You'll 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. You'll 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.

Data Science Internship (Current PhD) - Summer 2027

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