Data Science Intern

Rundoo

9d • Onsite

About The Position

Our mission is to empower independent supply stores with best-in-class technology. 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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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.

Requirements

• Based in Chicago or surrounding suburbs with flexibility to work from our office.
• Comfortable working in Python and using Git to track your work (~ 1 year of experience with these tools). Familiarity with Pandas and writing performant code (e.g. vectorized operations, parallel processing).
• Document your work well, in a manner that support reproducibility of your work.
• Able to learn how to work with different APIs or tools on your own.

Nice To Haves

• Experience in research environments using data to answer real-world problems.

Responsibilities

• 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.

Benefits

• Full medical, dental, and vision coverage (100% of premiums for you, 50% for dependents)
• 401k with Betterment
• Unlimited PTO with 10 company paid holidays
• Daily team lunches for those in office
• Learning materials and audiobook subscriptions

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed