Stackvale

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Principal Research Data Scientist

Set the research direction for how Stackvale turns operational data into automation that actually moves the needle.

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Research & Data · Full-time Seattle, WA · Hybrid (remote-friendly within the U.S.) $150,000 – $285,000 base + equity + benefits

What you'll do

  • Own the data-science research roadmap and translate fuzzy business problems into well-posed, measurable ones.
  • Design, prototype, and validate models (forecasting, anomaly/leak detection, segmentation, causal/experiment design) against real client operations data.
  • Build rigorous evaluation and experimentation frameworks; define what 'good' means before shipping.
  • Partner with engineering to take research from notebook to a reliable production service.
  • Set standards for reproducibility, data quality, and responsible, privacy-respecting use of data.
  • Mentor engineers and analysts, and act as the technical authority on data-science decisions.

What we're looking for

  • 8+ years applying statistics/ML to real problems, including a principal/staff-level scope of influence.
  • Deep fluency in Python and the modern DS/ML stack; strong SQL.
  • A track record of research that shipped and measurably changed an outcome — not just papers or prototypes.
  • Excellent experiment design and causal-inference instincts; you know when a metric is lying to you.
  • Clear communication — you can make a model's tradeoffs legible to a non-technical business owner.

Nice to have

  • Experience with operations, fintech, SaaS, or marketplace data.
  • Time-series forecasting and demand modeling at scale.
  • Comfort with production engineering (TypeScript/Next.js, Postgres, cloud) so research survives contact with reality.
  • Built or scaled a data-science function from an early stage.

Apply

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Stackvale is an equal-opportunity employer. The posted pay range reflects the expected base salary for this role; actual pay depends on skills and experience.