Senior Data Scientist

Role Description

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 a 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.

Qualifications

• 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.

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.