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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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 architecture and best practices for building an internal tool. Culture - Behavioral questions, geared toward our culture & values. References: one manager, one peer, one stakeholder (PM/GTM/Finance). 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 Gym allowance Daily team lunches for those in office Learning materials and audiobook subscriptions Dog-friendly office in Redwood City - https://rundoo.ai/rundogs/ 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.

Senior Data Scientist

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