Data Scientist resume template.2026
Data scientist resumes in 2026 are scrutinised for two things: real shipped models (not coursework) and business impact (not just AUC). The winning structure is summary → 2–3 shipped models with metrics → stack → education.
- ATS-ready format
- Pulls from your LinkedIn
- One page, 30 seconds
Data Scientist
Summary
Applied DS with 4 years in marketplaces. Shipped a search ranking model that lifted booked GMV +9%, an LTV model now used by finance for forecasting, and a churn classifier that drove a $1.1M retention save in year one.
Selected wins
- Shipped a search ranking model (LightGBM → online learning); lifted booked GMV +9% and CTR +18%.
- Built the LTV model that finance now uses for quarterly forecasting; reduced forecast error from 14% → 6%.
- Trained a churn classifier (AUC 0.84) wired to lifecycle ops; drove a $1.1M retention save in year one.
Skills
- ML modelling
- Experimentation
- Causal inference
- Productionisation
- Stakeholder framing
Three sentences. Role, win, scope.
"Applied DS with 4 years in marketplaces. Shipped a search ranking model that lifted booked GMV +9%, an LTV model now used by finance for forecasting, and a churn classifier that drove a $1.1M retention save in year one."
Open with the role and years of experience. Name a measurable win. Close with the scope or ownership signal. Recruiters scan the top third for under seven seconds — this is the format that survives that scan.
Verb. Number. Outcome.
- Shipped a search ranking model (LightGBM → online learning); lifted booked GMV +9% and CTR +18%.
- Built the LTV model that finance now uses for quarterly forecasting; reduced forecast error from 14% → 6%.
- Trained a churn classifier (AUC 0.84) wired to lifecycle ops; drove a $1.1M retention save in year one.
Skill stack
- ML modelling
- Experimentation
- Causal inference
- Productionisation
- Stakeholder framing
ATS keywords
- Python
- SQL
- PyTorch
- scikit-learn
- XGBoost
- LightGBM
- Airflow
- dbt
- Snowflake
- experimentation
- A/B testing
- causal inference
- statistics
Data Scientist resume questions.
Should I list Kaggle competitions?
Only if you placed in the top 1% or used the technique in production. Otherwise it reads as a substitute for shipped work.
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