Senior Data Scientist

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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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: 1. Amrit https://www.linkedin.com/in/amrit-kwatra-87066612a/ (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. 2. Matt https://www.linkedin.com/in/matthew-kestufskie/ (Sales): St...