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RundooRundooRedwood City, CA

Senior Data Scientist

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.

201k – 248k/yr
Remote5+ YOEData Science

About the role

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.

Skills

PythonStatisticsExperimentationCausal InferenceForecastingApplied MlData ContractsProduction CodeInternal ToolingGtm Analytics

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