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CV & Careers · CourseToJob

Data Scientist CV example

What to include in a data scientist cv: relevant evidence, skills, sample achievement structures and template suggestions.

A useful starting point

Lead with a decision your model changed, not a Kaggle rank. Two pages. Skip a methods laundry list with no stakeholder. Skip this if the advert is a data-analyst SQL seat — use that example or you will look over-specified.

These examples illustrate structure, not a real applicant’s history. Replace every sample detail with your own evidence. Follow the employer’s instructions on qualifications, registration, document length and file format.

Evidence to consider

  • Problem, method, metric, decision
  • Python or R you used in production or research
  • Stakeholder
  • Reproducibility (repo, notebook policy)

Illustrative achievement bullets

  • Built a churn model that lifted retained accounts 4% after a pricing test
  • Shipped a feature store table used by 3 analysts weekly
  • Replaced a manual forecast; cut weekly planning time 6 hours
  • Peer-reviewed 8 model cards for fairness checks before launch

Relevant skills to substantiate

Python · SQL · Experiment design · scikit-learn · Stakeholder reporting · Statistics

What to leave out

  • Unexplained accuracy numbers
  • Photos
  • Every library in a course

Choose a layout

Explore the modern template or use it in the CV builder. This is a suggested layout; follow the vacancy’s requirements.

Related roles

Frequently asked questions

Do I include GitHub competitions?

One line if it is current and relevant. Production decisions outrank leaderboards.

PhD publications?

Two or three selected, not the full academic CV, unless they asked for one.

Length?

Two pages. Methods appendices belong in a portfolio, not page three of a job CV.