Neighbor
Data Science Internship (Current PhD) - Summer 2027
Lehi, UT · On-site · Internship · Posted Sep 28, 2026
- Education
- Currently enrolled in a quantitative-field PhD program; completing the PhD by May of 2028.
About the job
Apply statistical and machine-learning methods to improve production models, build operational forecasts, and support experiment design and analysis for Neighbor’s marketplace.
What you'll do
- Improve and validate lifetime value and unit economics models, including auditing existing models for leakage and performance issues.
- Build forecasts for marketplace demand, supply, revenue, and related drivers.
- Partner with Product, Marketing, and Sales to design A/B tests and analyze and communicate results and their limitations.
What they ask for
- Currently enrolled in a quantitative-field PhD program and completing the 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.
- Academic or project-based experience with A/B testing design or statistical hypothesis testing.
Nice to have
- Experience with dbt or semantic layers like Cube.
Tools
Python, dbt, Dagster, Redshift, Athena, Cube, Superset, SQL
Model-written summary · the original posting is authoritative