Senior Data Scientist

About this role

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to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems.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): 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 https://www.linkedin.com/in/vidhanagrawal/ (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)

- Life Insurance

- 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 https://www.linkedin.com/in/beckman-andrew/ (CTO): studied computer science &…