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Data Scientist Resume Example.

A data scientist resume has to convince two readers: a recruiter checking for keywords such as Python, machine learning and SQL, and a technical lead asking whether your models ever left the notebook. Show both.

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Marcus Bell

Data Scientist
New York, NY• +1 (555) 010-3319• marcus.bell@example.com• linkedin.com/in/marcusbell

Professional Summary

Data scientist with 5 years of experience building machine learning models for credit risk and fraud detection. Took 6 models from prototype to production, including a fraud model that saves $4M a year. Strong in Python, SQL and experiment design, and at explaining results to non-technical teams.

Work Experience

Data Scientist

Ledgerline Financial
02/2021 – Present
New York, NY
  • •Built a gradient-boosted fraud model that catches 23% more fraud at the same review rate, saving $4M a year.
  • •Deployed models as real-time APIs with MLflow and Docker, scoring 50,000 transactions an hour.
  • •Designed a credit-limit experiment across 80,000 customers that raised revenue by 6% with no rise in defaults.
  • •Set up model monitoring that flags data drift within a day instead of at quarterly reviews.

Data Analyst

Harborview Insurance
07/2019 – 01/2021
Hartford, CT
  • •Predicted policy cancellations with a logistic regression model, helping retention save 1,100 policies.
  • •Automated claims reporting in Python, saving 15 hours a week.

Skills

Machine learning
scikit-learnXGBoostPyTorchNLPTime series
Data
PythonSQLSparkSnowflake
MLOps
MLflowDockerAirflowAWS SageMaker

Education

M.S. in Data Science
Columbia University
2017 – 2019 | New York, NY
B.A. in Economics
Rutgers University
2013 – 2017 | New Brunswick, NJ

Certifications & Awards

Paper: "Drift-aware fraud scoring", KDD Applied Data Science workshop (2023)

Languages

English(Native)
Spanish(Intermediate)
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Writing guide

How to Write a Data Scientist Resume.

The example below is for a data scientist with five years of experience in fintech. It pairs every model with a business result, lists the libraries a screening tool will look for and includes a short publications line that sets the candidate apart.

Below you'll find summary examples for different levels, the skills to include, bullet points you can adapt and tips from the way recruiters read data scientist resumes.

Summary

Data Scientist Resume Summary Examples.

Two or three sentences at the top of your resume: who you are, your strongest result and what you're looking for. Pick the one closest to your level and make it yours.

Entry-level

Data science graduate with hands-on experience in Python, SQL and scikit-learn. Built a housing price model with 8% error for a capstone project and published the notebook with a clear write-up.

Mid-level

Data scientist with 3 years of experience in marketing analytics. Built a customer segmentation model that shaped a $2M campaign and raised response rates by 18%.

Senior

Lead data scientist with 9 years of experience turning research into products. Manages a team of 5 and owns the recommendation system behind 30% of site revenue.

Skills

Skills for a Data Scientist Resume.

Screening software compares your resume with the job ad, so use the same words the employer uses, but only for skills you really have. Put the most relevant ones first.

Hard skills

  • Python (pandas, NumPy)
  • SQL
  • Machine learning (scikit-learn, XGBoost)
  • Deep learning (PyTorch or TensorFlow)
  • Statistics and experiment design
  • Feature engineering
  • Spark / big data
  • Model deployment (MLOps)
  • Data visualization
  • Cloud ML services

Soft skills

  • Translating business questions into models
  • Communicating uncertainty
  • Curiosity
  • Collaboration with engineers
  • Critical thinking
  • Pragmatism

Show soft skills in your bullet points rather than listing them alone: "trained 6 new hires" proves leadership better than the word itself.

Experience

Data Scientist Resume Bullet Points.

Start with a strong verb, say what you did and end with the result, ideally a number. Adapt these to your own work and never claim results you can't back up.

  • Replaced a rules-based system with a model that cut false positives by 40%, freeing 3 analysts for other work.
  • Built a demand forecast that reduced stock-outs by 22% across 300 stores.
  • Created an NLP pipeline that sorts 20,000 support emails a day into 12 topics with 91% accuracy.
  • Ran a causal analysis showing a loyalty program had no effect on churn, saving $600K in yearly spend.
  • Reduced model training time from 9 hours to 40 minutes by moving feature pipelines to Spark.
  • Wrote an internal guide on experiment design used by 4 product teams.
  • Explained model decisions to regulators using SHAP values and plain-language summaries.
  • Mentored 3 analysts moving into data science roles.
Tips

What Recruiters Look For.

  1. 1

    Production beats accuracy

    A model that shipped and saved money matters more than a slightly higher AUC. Say where the model runs and who uses it.

  2. 2

    Put the business metric next to the model metric

    "AUC 0.91" means little to a recruiter. "Caught 23% more fraud" means something to everyone.

  3. 3

    Keep the math for the interview

    Name the methods, but skip long explanations. The resume earns the interview, the interview is where you show depth.

  4. 4

    Show your code

    A clean GitHub repository or a published notebook is strong proof, especially for early-career candidates.

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FAQ

Data Scientist Resume
Questions.

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What should a data scientist resume include?

Contact details and links, a short summary, work experience with measurable results, a skills section grouped by ML, data and deployment tools, education, and publications or projects if you have them.

Is a master's degree required?

Not always. Many teams hire on skills and experience. If you have no advanced degree, a strong projects section and production results carry more weight.

How technical should the resume be?

Technical enough to pass keyword screening and convince a hiring manager, but written so a recruiter can follow it. Name methods and tools, and always add the business result.

More resume examples

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See all resume examples, check yours with the free ATS resume checker, browse resume templates or read how resumes differ by country.

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