C
Candidate
Home›Resume examples›Data Scientist
TechMid-level (3–5 years)

Data Scientist resume example — Mid-level (3–5 years)

Sample summary for Jessica Thompson

Data scientist with 4 years building production ML models and running large-scale experiments at growth-stage tech companies. Shipped 8 models to production, ran 60+ A/B tests, and contributed $4M in measurable revenue impact through personalization and churn prediction.

Key skills
PythonTensorFlowPyTorchSQLSparkMLflowFeature EngineeringCausal InferenceA/B TestingNLPRecommendation SystemsDatabricks
Sample experience
Data Scientist
2021 – Present
Arc Commerce · San Francisco, CA
  • •Built personalization model for product recommendations, increasing average order value by 14% ($2.8M revenue impact)
  • •Shipped churn prediction model used by CSM team; at-risk customer retention improved by 22% in first 90 days
  • •Designed experimentation framework for 60+ A/B tests/year with proper power analysis and sequential testing
  • •Reduced model retraining cycle from weekly to daily using automated MLflow pipeline, improving prediction freshness
Data Scientist
2020 – 2021
Kinetic Health · Remote
  • •Trained NLP model classifying patient feedback with 89% accuracy, replacing 20 hours/week of manual tagging
  • •Built anomaly detection system catching 95% of data quality issues before they reached analyst queries
  • •Collaborated with engineering to deploy first ML model to production in company history
Tips for your Data Scientist resume

Mid-level data science resumes should lead with business outcomes, not model accuracy. '$2.8M revenue impact', '22% retention improvement', and '14% AOV increase' matter more than 'trained a gradient boosting model.' Also show that your models actually reached production — a shipped model beats a notebook with a great AUC.

Build your Data Scientist resume
Use this example as a starting point. Pick a template, customize, download.
Preview in all templates
Jessica Thompson
Data Scientist · ML · Experimentation · 4 Years
jessica.thompson@email.com · (555) 234-5678 · New York, NY
Summary
Data scientist with 4 years building production ML models and running large-scale experiments at growth-stage tech companies. Shipped 8 models to production, ran 60+ A/B tests, and contributed $4M in measurable revenue impact through personalization and churn prediction.
Experience
Data Scientist2021 – Present
Arc Commerce · San Francisco, CA
• Built personalization model for product recommendations, increasing average order value by 14% ($2.8M revenue impact)
• Shipped churn prediction model used by CSM team; at-risk customer retention improved by 22% in first 90 days
• Designed experimentation framework for 60+ A/B tests/year with proper power analysis and sequential testing
Data Scientist2020 – 2021
Kinetic Health · Remote
• Trained NLP model classifying patient feedback with 89% accuracy, replacing 20 hours/week of manual tagging
• Built anomaly detection system catching 95% of data quality issues before they reached analyst queries
• Collaborated with engineering to deploy first ML model to production in company history
Skills
PythonTensorFlowPyTorchSQLSparkMLflowFeature EngineeringCausal InferenceA/B TestingNLPRecommendation SystemsDatabricks
Education
M.S. Statistics
Stanford University
2020