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Data Scientist CV — example, template & salary guide

A great Data Scientist CV does two things: it surfaces the outcomes recruiters scan for in the first 6 seconds, and it mirrors the tools and language of the job ad. ResumAI handles both — paste any Data Scientist job description and get a tailored, ATS-optimized CV in 30 seconds.

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What recruiters look for

  • Languages and frameworks (Python, R, PyTorch, TensorFlow, scikit-learn)
  • Models shipped to production — not just notebooks
  • Business impact in revenue, retention or cost terms
  • Cross-functional partnership with eng and product

Example CV snippet

Summary

Senior data scientist with 5 years shipping production ML at consumer SaaS. Owned the recommendations and pricing systems serving 8M weekly active users.

Experience

  • Shipped a recommendations model that lifted 30-day retention by 14%.
  • Built a dynamic pricing system in PyTorch — +9% gross margin on 600k SKUs.
  • Owned the experimentation framework — 200+ A/B tests run by 12 PMs.

Skills

  • Python
  • PyTorch
  • scikit-learn
  • ML
  • experimentation
  • feature store

Common mistakes

  • Listing notebooks instead of shipped, in-production models.
  • No business impact tied to model output.
  • Skipping MLOps and deployment context.

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