Data Scientist CV Template

Data scientists combine statistics, programming and business judgement to turn data into decisions. In the French market, the role usually mixes model prototyping (Python, scikit-learn, PyTorch) with productionisation (MLOps, data pipelines). Recruiters scan three signals on a CV: methodological rigour (cross-validation, choosing the right evaluation metric for the actual trade-off), measurable business impact (+X% precision translated to € saved or earned), and the ability to communicate results to non-technical stakeholders. One project well-described in 3 bullets beats five unexplained projects. Impressive models without deployment lose to modest production models with quantified business impact.