Why this role stands out
Accelerate your career by applying your advanced research skills to high-impact machine learning models at a rapidly scaling marketplace backed by industry-leading investors. This internship is an ideal fit for a PhD student who thrives in a collaborative, mentorship-driven environment and wants to see their work directly influence strategic business decisions. Apply now to gain hands-on experience with a cutting-edge data stack while shaping the future of a nationwide platform.
Quick overview
Job description
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.
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