# Senior Data Scientist

**Company:** [Rundoo](https://hotfix.jobs/companies/rundoo)
**Location:** Remote
**Role:** Data Science
**Salary:** $201k – $248k/yr
**Experience:** 5+ years
**Skills:** Python, Statistics, Experimentation, Causal Inference, Forecasting, Applied Ml, Data Contracts, Production Code, Internal Tooling, Gtm Analytics
**Posted:** 2026-06-09

> Own end-to-end data science: translate ambiguous business questions into reproducible analysis and lightweight internal systems while partnering with GTM, product, and finance leaders. Requires 5+ years in high-growth data science/analytics with strong Python and stakeholder communication skills.

## Job Description

## What you’ll do
- 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.

## Nice-to-haves
- 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.

## 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.

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