Data Science Intern

Our mission is to empower independent supply stores with best‑in‑class technology. Think of your local hardware store or mom‑and‑pop nursery—these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on‑premises systems. We’re aiming to help them modernize so that they can continue to thrive. Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry. You’ll be based out of Chicago / Chicagoland and support the data science and revenue operations in building an efficient and scalable GTM muscle. You’ll report to Rundoo’s Head of Data Science, Amrit, and work with members from our go-to-market team. This role is ideal for someone who thrives on leveraging data‑driven techniques and programming to power insights and drive growth at a fast‑paced startup . Responsibilities Analyze data on product, sales, and GTM hypotheses. Translate product, sales, and GTM requests into data problems and execute on them. Build utilities to orchestrate and connect data across different tools and services. Work in Chicago or surrounding suburbs with flexibility to work from our office. Qualifications & Experience Comfortable working in Python and using Git to track your work (~1 year of experience). Familiar with Pandas and writing performant code (e.g. vectorized operations, parallel processing). Document work well to support reproducibility. Able to learn how to work with different APIs or tools independently. Bonus Points Experience in research environments using data to answer real‑world problems. Location & Remote Flexibility Chicago office , flexible to work from surrounding suburbs. #J-18808-Ljbffr Rundoo, Inc.