How to tailor your resume for a Data Scientist role

1. Move any model that reached production above competition or coursework projects; a deployed model outranks an accuracy score nobody outside a leaderboard ever actually saw.
2. Attach the business result to each project, like a churn model tied to accounts saved, matching the outcome language the posting uses for its own team.
3. Match your primary language and framework to the posting's stack and put it first; a resume leading with a tool the posting never mentions reads like a mismatch.
4. Cut the methods list down to the ones you actually chose and shipped; naming a dozen algorithms reads like a syllabus, naming the one you used reads like a job.

Recruiters spend about 7 seconds on a first resume scan. (Ladders eye-tracking study)

Start with the version a recruiter opens right now, then make these moves against it.

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