Data Science Intern

About Rundoo ℹ️ 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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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. You’ll be based in the Chicago office. What you’ll do as a Data Science Intern at Rundoo 🗒️ Analyze data on product, sales and GTM hypotheses. Translate product, sales and GTM requests into data problems & execute on them. Build utilities to orchestrate and connect data across different tools and services. Requirements ☑️ Based in Chicago or surrounding suburbs with flexibility to work from our office. You are comfortable working in Python and using Git to track your work (~ 1 year of experience with these tools). We expect you to be familiar with Pandas and writing performant code (e.g. vectorized operations, parallel processing). You document your work well, in a manner that support reproducibility of your work. You are able to learn how to work with different APIs or tools on your own. Bonus points 🌟 Experience in research environments using data to answer real-world problems. Compensation 💵 Salary: $1,200/week, 40hrs/week Interview Process 🎤 20-minute screening call with Amanda – An initial conversation with our recruiter to get to know each other better. 30-minute introductory call with Amrit – A discussion about a past project, your working style, and your approach to problem-solving. 90-minute collaborative project session with Amrit – Partner on preparing a dataset to support data-driven decision-making. 15-minute final call (remote) – A closing conversation with our CEO. About our founders 🌲 Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)! 🩰 Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company 🍫 How we've fundraised 💰 We've raised $18m across three rounds: A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia. A $5m seed led by Caitlin Bolnick Rellas at CRV . An $11m series A led again by Bessemer and CRV.

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