Data Scientist

  • All available
  • All levels
  • 192 postings
  • 27.1% remote
  • About 5+ years exp.

Role snapshot

A quick overview of what this role tends to mean, drawn from the wording of the postings themselves.

What this role is about

ML and Python are core, with SQL and statistics for product decisions. Many roles now blend experimentation, production deployment, and ongoing model ownership. R remains common, especially in analytics-heavy and research-adjacent teams. Cloud and LLM work appear often, but usually as applied tooling.

  • Machine learning
  • Python
  • SQL
  • R
  • Statistics

Key themes

  • Many roles now blend experimentation, production deployment, and ongoing model ownership.

  • R remains common, especially in analytics-heavy and research-adjacent teams.

Key responsibilities

The work that comes up most often

Based on 192 postings

Most common: Build predictive models, Prepare and validate data, and Design experiments.

Original listing unavailable — snapshot available

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