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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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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 (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 (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 🎣)

  3. 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 🎤

  1. Intro call (30 min)

  2. Take-home exercise overview (30 min)

  3. 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.

  4. 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.

  5. 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 🌲

  1. 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)! 🩰

  2. 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:

  1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.

  2. A $5m seed led by Caitlin Bolnick Rellas at CRV.

  3. An $11m series A led again by Bessemer and CRV.

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