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Data Scientist Resume Example

Professional Data Scientist resume example with ATS-optimized template. Learn how to showcase your ML skills and statistical expertise.

Last Updated: 2026-02-02 | Reading Time: 8-10 minutes

Quick Stats

Average Salary
$100,000 - $190,000
Job Growth
35% projected through 2032
Top Hiring Companies
Google, Meta, Amazon

Data Scientist Resume Example

Michael Zhang

michael.zhang@email.com  |  (555) 345-6789  |  New York, NY

linkedin.com/in/michaelzhang

Professional Summary

Data Scientist with 4+ years of experience building machine learning models and deriving actionable insights from complex datasets. Expertise in NLP, recommendation systems, and predictive analytics. Published researcher with 3 papers in top ML conferences.

Experience

Senior Data Scientist
FinTech Corp – New York, NY
June 2022 - Present
  • •Developed fraud detection model reducing false positives by 40% while maintaining 99% recall
  • •Built customer churn prediction system saving $5M annually in retention costs
  • •Led team of 3 data scientists on recommendation engine improving conversion by 25%
  • •Presented insights to C-suite executives, influencing $10M+ business decisions
Data Scientist
E-commerce Co – Boston, MA
August 2020 - May 2022
  • •Implemented NLP pipeline for sentiment analysis of 1M+ customer reviews
  • •Created A/B testing framework adopted across 5 product teams
  • •Reduced model training time by 60% through distributed computing optimization

Education

Master of Science in Data Science
Columbia University
2020 • GPA: 3.9/4.0

Technical Skills

Python • R • SQL • TensorFlow • PyTorch • Scikit-learn • Pandas • Spark • AWS SageMaker • MLflow

Certifications

  • AWS Machine Learning Specialty
  • Google Professional Data Engineer

Why This Resume Works:

  • Quantified achievements with specific metrics
  • Keywords match common job descriptions
  • Clean, ATS-compatible formatting
  • Strong action verbs throughout

How to Write a Data Scientist Resume

Professional Summary

Lead with years of experience and specialization area. Mention specific ML techniques and business impact. Include publications or patents if applicable.

Work Experience

Quantify model performance (accuracy, precision, recall). Show business impact of your work. Mention scale of data you worked with.

Skills Section

Organize by category: languages, ML frameworks, cloud platforms, big data tools. Include both technical skills and domain expertise.

Action Verbs for Data Scientists

DevelopedBuiltImplementedAnalyzedOptimizedPredictedModeledTrainedDeployedAutomatedVisualizedResearchedValidatedExperimentedDiscovered

Data Scientist Resume Keywords

These keywords appear most frequently in Data Scientist job descriptions. Include relevant ones in your resume:

Technical Keywords

Machine LearningDeep LearningNLPComputer VisionStatistical ModelingA/B TestingFeature EngineeringModel DeploymentMLOpsData Pipeline

Industry Keywords

Predictive AnalyticsRecommendation SystemsFraud DetectionCustomer SegmentationForecastingAnomaly DetectionBig DataData Mining

Tools & Technologies

PythonRSQLTensorFlowPyTorchScikit-learnPandasNumPySparkHadoopAWSGCPTableauJupyter

Common Mistakes to Avoid

Only listing technical skills without business context

Connect your models to business outcomes: revenue, cost savings, efficiency gains

Not mentioning model metrics

Include accuracy, precision, recall, AUC-ROC, or other relevant metrics

Forgetting to mention data scale

Specify data volume: millions of rows, terabytes of data, real-time processing

Data Scientist Resume FAQs

Should I include my Kaggle profile or competitions?

Yes, if you have notable achievements. Include your ranking, competition placements, or notable kernels. This demonstrates practical skills and passion for the field.

How do I handle proprietary/confidential projects?

Describe the problem type, techniques used, and results in general terms. Use percentages instead of absolute numbers when needed. Focus on your methodology and impact.

Is a PhD required for Data Scientist roles?

Not always. While some research-heavy roles prefer PhDs, many industry positions value practical experience. Highlight your projects, publications, and real-world impact.

Should I include a portfolio or GitHub?

Absolutely. Include links to your GitHub, portfolio website, or published papers. Showcase diverse projects covering different ML techniques.

Ready to Optimize Your Data Scientist Resume?

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Last updated: 2026-02-02 | Written by JobJourney Career Experts