A Data Scientist resume example with sample projects, skills, and ML experience formatted for ATS. See how to present models, datasets, and business impact clearly.
Copy and adapt these achievement-focused bullet points for your own resume.
Include a mix of these in your skills section to pass ATS keyword filters.
Open with your most impressive ML project — accuracy rate, business impact, dataset size — this immediately signals capability.
List ML techniques (Random Forests, LSTM, XGBoost) separately from tools (Python, TensorFlow, Jupyter). Recruiters search for both.
Link to Kaggle profile, GitHub repos, or published research. External proof validates your skills.
"Model F1-score: 0.91" means nothing to a hiring manager. Add "reducing fraud losses by $3.2M annually".
Yes — list it prominently. For research-heavy roles, academic credentials matter. For industry roles, complement it with real-world impact.
1–2 pages. For academics or researchers with many publications, a separate publications list is acceptable.
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