Senior Data Scientist

Benefits

Additional Information

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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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. About the role 💼 You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). You'll be a thought partner to leaders across GTM, product, and finance - shaping the question as much as answering it - and proactively surfacing anomalies and opportunities as the business scales. This is a remote role with a strong preference for candidates based in SF or NYC . You will report directly to the Head of Data Science . What you'll do as an Data Scientist at Rundoo 🗒️ Deliver high-trust analysis on clear timelines : stakeholders trust both the answer and the ETA; assumptions and limits are explicit. Translate business problems into analysis + system requirements : turn vague asks into crisp scopes, metrics definitions, and data contracts. Build and maintain internal decision systems : ship lightweight tools/workflows so insights are reproducible and maintainable by others. Partner with GTM teams : help Sales/GTM move from "interesting analysis" to actions (e.g., prospecting lists, territory design, experimentation). Proactively surface issues : detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket. Support fundraising readiness : contribute to an evergreen, credible data pool and reporting that leadership can rely on. Requirements ☑️ 5+ years of experience in data science, analytics, applied ML or MLE in a high-growth environment Strong applied analytics / data science foundation (statistics, experimentation, causal thinking, forecasting, etc.). Demonstrated ability to scope ambiguous problems and drive to decisions with stakeholders. Comfort writing production-quality code (especially Python ) and building maintainable internal systems (not just notebooks). Excellent communication: can explain tradeoffs, assumptions, and recommendations to non-technical audiences. High ownership and autonomy in a fast-paced environment; can operate without a lot of process. Bonus points 🌟 Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting, territories, etc.). Experience building internal analytics tooling on cloud infrastructure (basic best practices, reliability, maintainability). Experience operating in early-stage startups and/or building "v1 systems" that later scale. Strong "structured systems thinking" and willingness to defend or revise an approach under scrutiny. Location Remote friendly Expect ~1 week of travel per quarter to either our Chicago or Redwood City offices. About the team 👥 You'll partner closely with leaders across the business (GTM, product, and finance) and work directly with exec stakeholders. This is a high-trust, cross-functional role where the outputs need to be decision-ready and reproducible. You would work directly with the GTM leaders on the team: Amrit (Data Science): Studied CS & English at Cornell; Data Scientist at Enigma; Public Interest Technology Fellow at the New York Public Library. Enjoys mending, maintenance & buying junk on eBay. Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing 🎣) Vidhan (Client Experience): Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at BuildZoom, Product lead at Hinge Health, and Co-Founder of Urova Medical. Interview Process 🎤 Intro call (30 min) Take-home exercise overview (30 min) Paid Take Home (~4-6 hours) - This is the core of the interview. We'll share more information about Rundoo and ask you to complete a task representative of the work you'd do at Rundoo. This interview will be paid, and we ask that you dedicate significant time to it. On-site Take-home review - pressure-test the analysis; reproduce numbers; push on assumptions GTM collaboration - test trust/translation and move from analysis to action. Lunch with the team Problem solving discussion - informal discussion on how problems are approached and tools used. Systems/engineering - Basic systems archite

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at rundoo? Share your experience