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Data Scientist Resume Examples

Three example resumes, from entry level to senior, each written for what Data Scientist job postings at that level ask for and measured against them.

Updated September 2026 路 Scored against 8,584 job postings

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Data Scientist

Entry level, 0 to 2 years

Entry level Data Scientist resume

It matches an average of 67% of the 150 most requested skills in the 1,641 entry level Data Scientist job postings we scanned. A fictional candidate with 0 to 2 years of experience at invented employers. Highlighted words are skills Data Scientist jobs ask for.

86
Resume score
67
Avg. match

Marcus Lee

Data Scientist

Pittsburgh, PA 路 (412) 555-0193 路 marcus.lee@example.com 路 github.com/example

Summary

Data scientist with a year of industry data science after an M.S. in data science and a B.S. in mathematics and computer science. Builds machine learning and predictive modeling in Python, scikit-learn and SQL, from exploratory data analysis to model development on AWS, and explains results with clear data visualization. Recent work in natural language processing and applied artificial intelligence.

Education

M.S. in Data Science, Allegheny Institute of Technology, 2025

B.S. in Mathematics and Computer Science (algorithms, quantitative methods, data modeling, databases), Allegheny Institute of Technology, 2023

Skills

Machine learning
scikit-learn, TensorFlow, PyTorch, Deep learning, NLP
Programming languages
Python (pandas, NumPy, Matplotlib), SQL, Java, R
Analysis
Statistical analysis, Exploratory data analysis, Tableau, Power BI, Spark

Experience

Data Scientist I, Ridgeline Freight

Pittsburgh, PA 路 Aug 2025 to present

  • Built a machine learning model in Python and scikit-learn that predicts late deliveries 48 hours ahead with 81% precision, now used by 30 dispatchers.
  • Ran exploratory data analysis on 3 million shipments with SQL queries and pandas, and presented the findings to operations with Tableau dashboards.
  • Engineered a data pipeline with 25 data quality tests for model features on the AWS cloud platform, working with the software engineering team.
  • Applied natural language processing to 200,000 driver notes, a first analysis of that unstructured data, and flagged the 4 top causes of delays.
  • Used clustering and route optimization to redesign 40 delivery routes, cutting miles driven by 9%.

Data Science Intern, Keystone Health Analytics

Philadelphia, PA 路 Summer 2025

  • Trained a TensorFlow deep learning model for flagging suspect insurance claims that caught 12% more cases than the rules-based system.
  • Created Power BI dashboards on model performance for the claims team.
  • Helped move feature preparation from notebooks to Spark.
  • Helped build a forecasting model for patient volume with data mining on past records.

Thesis, Computer Vision for Retail Shelves, Allegheny Institute of Technology

Pittsburgh, PA 路 Sep 2024 to May 2025

  • Trained a PyTorch computer vision model on 40,000 images that detects out-of-stock shelves with 92% accuracy.
  • Compared model architectures with statistical modeling, probability and hypothesis testing, and published the code on GitHub.
  • Helped present the results to retail partners with a store operations case.

New to the field? The student resume guide covers resumes with little or no work history.

Measured

How well it matches real entry level Data Scientist jobs

Each column counts entry level Data Scientist job postings by how many of the top 150 skills they ask for this resume matches.

Entry level Data Scientist resume example: skill match across 1,641 job postings

How many entry level Data Scientist job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 67% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Start from your own resume and make it match the entry level Data Scientist job you want.

Build mine free

Keywords

Which top Entry level keywords it uses

The skills entry level Data Scientist jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Entry level Data Scientist resume example: top keywords used

The 20 skills entry level Data Scientist jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • Python 82% of jobs
  • Machine Learning 71% of jobs
  • SQL 61% of jobs
  • Analytics 45% of jobs
  • Programming 38% of jobs
  • Data Analysis 38% of jobs
  • Mathematics 34% of jobs
  • Algorithms 33% of jobs
  • Artificial Intelligence 29% of jobs
  • Testing 27% of jobs
  • Data Visualization 27% of jobs
  • Data-Driven 25% of jobs
  • Database 24% of jobs
  • Quantitative Analysis 21% of jobs
  • Business Intelligence 20% of jobs
  • Tableau 20% of jobs
  • Coding 20% of jobs
  • Dashboarding 20% of jobs
  • scikit-learn 19% of jobs
  • pandas 19% of jobs

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Mid level, 3 to 6 years

Mid level Data Scientist resume

It matches an average of 75% of the 150 most requested skills in the 6,096 mid level Data Scientist job postings we scanned. A fictional candidate with 3 to 6 years of experience at invented employers. Highlighted words are skills Data Scientist jobs ask for.

89
Resume score
75
Avg. match

Nadia Brooks

Data Scientist

Seattle, WA 路 (206) 555-0175 路 nadia.brooks@example.com 路 github.com/example

Summary

Data scientist with five years of data science, data analysis and machine learning in subscription and streaming products. Strong in Python, SQL queries and statistical modeling, from exploratory data analysis to model development, and does the engineering to put models into production: data pipelines, testing and monitoring on AWS and Microsoft Azure. Currently building with artificial intelligence, natural language processing and large language models.

Experience

Data Scientist, Pinecrest Streaming

Seattle, WA 路 2022 to present

  • Built a predictive modeling churn system in Python (scikit-learn, XGBoost) that flags 62% of cancellations 30 days early; retention offers based on it save $1.4M a year.
  • Evaluated 3 generative artificial intelligence models for support summaries, designing the testing set and human review that picked the one now in production.
  • Replaced notebook feature generation with pipeline automation in SQL and Python, built with data engineering, adding 30 data quality checks and cutting refresh from a day to 40 minutes.
  • Used causal inference on 18 marketing campaigns to separate their real effect from seasonality, moving 20% of the budget to the channels that worked.
  • Trained TensorFlow deep learning models on unstructured data from 5 million reviews, a natural language processing system that routes feedback to product management.
  • Ran data mining and clustering on viewing data in Spark, the big data platform on Google Cloud Platform, to find audience segments for campaigns.

Associate Data Scientist, Harborlight Analytics

Tacoma, WA 路 2020 to 2022

  • Led the quantitative analysis for 11 pricing experiments, using Bayesian statistics to call results with half the traffic of the old method.
  • Did the data modeling and coding for an algorithm that matches client transaction data across relational databases.
  • Delivered Tableau and Power BI dashboards, data visualization and statistical analysis for finance and business intelligence teams, supporting data driven pricing decisions.
  • Helped build an operations research optimization model for a healthcare client, with Git versioning and Agile sprints.

Skills

Data science
Machine learning, Deep learning, Causal inference, A/B testing, Forecasting, NLP
Programming languages
Python (pandas, NumPy), SQL, Scala
Tools and platforms
scikit-learn, TensorFlow, PyTorch, Spark, AWS, Git

Education

M.S. in Statistics, Cascadia State University, 2020

B.S. in Mathematics and Computer Science, Cascadia State University, 2018

Measured

How well it matches real mid level Data Scientist jobs

Each column counts mid level Data Scientist job postings by how many of the top 150 skills they ask for this resume matches.

Mid level Data Scientist resume example: skill match across 6,096 job postings

How many mid level Data Scientist job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 75% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Start from your own resume and make it match the mid level Data Scientist job you want.

Build mine free

Keywords

Which top Mid level keywords it uses

The skills mid level Data Scientist jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Mid level Data Scientist resume example: top keywords used

The 20 skills mid level Data Scientist jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • Python 81% of jobs
  • Machine Learning 68% of jobs
  • SQL 64% of jobs
  • Analytics 51% of jobs
  • Programming 35% of jobs
  • Algorithms 35% of jobs
  • Mathematics 32% of jobs
  • Data Analysis 31% of jobs
  • Artificial Intelligence 31% of jobs
  • Testing 30% of jobs
  • Data-Driven 28% of jobs
  • Quantitative Analysis 27% of jobs
  • Data Visualization 24% of jobs
  • AWS 22% of jobs
  • Coding 22% of jobs
  • Tableau 22% of jobs
  • Database 21% of jobs
  • Business Intelligence 21% of jobs
  • Optimization 20% of jobs
  • Dashboarding 19% of jobs

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Senior, 7+ years

Senior Data Scientist resume

It matches an average of 78% of the 150 most requested skills in the 807 senior Data Scientist job postings we scanned. A fictional candidate with 7+ years of experience at invented employers. Highlighted words are skills Data Scientist jobs ask for.

91
Resume score
78
Avg. match

Hannah Weiss

Senior Data Scientist

Boston, MA 路 (617) 555-0158 路 hannah.weiss@example.com 路 github.com/example

Summary

Senior data scientist with ten years of data science and quantitative data analysis in financial services and healthcare, leading machine learning from research to production. Sets the modeling standards for a team of 8, owns the forecasting and optimization models used in finance and pricing, and leads the adoption of artificial intelligence and deep learning where they pay for themselves. Strong in Python, SQL, statistical modeling and the software engineering around models.

Experience

Senior Data Scientist, Beacon Street Financial

Boston, MA 路 2020 to present

  • Lead a team of 8 data scientists and set the model development, testing and Git version control standards now used across 3 product lines.
  • Built the Bayesian deposit forecasting models finance uses for treasury planning, cutting forecast error from 9% to 3%.
  • Designed a loan pricing optimization model with operations research methods, adding $6M a year in margin within risk limits.
  • Delivered the first artificial intelligence and deep learning models in production with TensorFlow and PyTorch: a neural network for natural language processing that triages complaints, and a fraud model that stops $2M a year in losses.
  • Partnered with data engineering to move model features to Snowflake and Spark big data pipelines on AWS and Microsoft Azure, with data quality monitoring on 25 production models.
  • Worked with product management to turn use cases into data products, and set their governance, KPIs and business intelligence reporting in Power BI dashboards for data driven reviews.

Data Scientist, Charles River Health

Cambridge, MA 路 2017 to 2020

  • Developed predictive modeling for hospital readmissions in Python, scikit-learn and pandas, used by care managers across 12 hospitals.
  • Ran causal inference and A/B testing on 9 patient outreach programs in Agile sprints, and 2 were expanded after lowering readmissions by 7%.
  • Mined unstructured data from 1 million clinical notes with data mining and statistical analysis, finding 3 early warning signs now in the care protocol.
  • Presented results to leadership with Tableau data visualization covering 400,000 patients and their customer experience scores.

Associate Data Scientist, Longwharf Analytics

Boston, MA 路 2015 to 2017

  • Worked on clustering and marketing mix models in SQL queries, Python and Scala for retail clients, and designed the database behind them on Google Cloud Platform.
  • Simulated store staffing for a retail client with algorithms written in NumPy.
  • Built the Python coding and automation behind weekly client data analytics reports.

Skills

Data science
Machine learning, Deep learning, Forecasting, Optimization, Causal inference, NLP
Programming languages
Python (pandas, NumPy), SQL, Scala
Platform
scikit-learn, TensorFlow, PyTorch, Spark, AWS, Snowflake

Education

Ph.D. in Applied Mathematics, Bay State University, 2015

B.S. in Mathematics and Computer Science (data modeling, learning techniques), Bay State University, 2010

Measured

How well it matches real senior Data Scientist jobs

Each column counts senior Data Scientist job postings by how many of the top 150 skills they ask for this resume matches.

Senior Data Scientist resume example: skill match across 807 job postings

How many senior Data Scientist job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 78% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Start from your own resume and make it match the senior Data Scientist job you want.

Build mine free

Keywords

Which top Senior keywords it uses

The skills senior Data Scientist jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Senior Data Scientist resume example: top keywords used

The 20 skills senior Data Scientist jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • Python 87% of jobs
  • Machine Learning 74% of jobs
  • SQL 66% of jobs
  • Analytics 56% of jobs
  • Artificial Intelligence 43% of jobs
  • Mathematics 36% of jobs
  • Quantitative Analysis 34% of jobs
  • Testing 34% of jobs
  • Algorithms 34% of jobs
  • Coding 34% of jobs
  • Programming 33% of jobs
  • AWS 26% of jobs
  • Data Analysis 26% of jobs
  • Data-Driven 26% of jobs
  • Optimization 25% of jobs
  • Finance 24% of jobs
  • Deep Learning 21% of jobs
  • Database 19% of jobs
  • Forecasting 19% of jobs
  • Microsoft Azure 18% of jobs

Source: skillsyncer.com/resume-examples/data-scientist 路 CC BY 4.0

Why no resume matches every job

Each example is written around the skills job postings at its level ask for most. But every company also names its own tools, platforms and industry terms: a Data Scientist job in healthcare, finance or retail asks for skills specific to that field. Fitting yours to one job is far easier: run a job scan and you see every keyword that job asks for, with AI suggestions for working the missing ones into your resume.

Scan a job free

See which of these keywords your resume is missing.

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Related roles

Resume examples for similar roles

Roles whose job postings ask for the most similar skills.

Data Analyst resume example

From 31,011 job postings

  • SQL 71%
  • Business Intelligence 54%
  • Dashboarding 52%

Software Engineer resume example

From 31,939 job postings

  • Coding 61%
  • Testing 53%
  • Java 49%

Business Analyst resume example

From 12,695 job postings

  • Testing 40%
  • Microsoft Excel 38%
  • Business Requirements 36%

Project Manager resume example

From 7,516 job postings

  • Budgeting 55%
  • Project Planning 39%
  • Finance 32%

The data behind it

Data Scientist resume keywords

Every keyword, how many job postings ask for it, how many resumes list it, and how that changes with seniority and over time.

See the keyword data

Common questions

Will this resume match every Data Scientist job?

No, and no resume honestly does. Each example's match score only counts the 150 skills job postings at its level ask for most, out of as many as 7,240 different skills those job postings name. Against those 150, the entry level example matches an average of 67%, mid level 75% and senior 78%. The rest vary from one company to the next, which is why a scan against the one job you want beats any example.

Which level should I use?

The one that matches your years of experience: entry level for 0 to 2 years, mid level for 3 to 6 years, senior for 7+ years. Each is measured against job postings whose titles are at that level, so its skills are the ones those jobs ask for.

Can I use this if I am changing careers into a Data Scientist role?

Yes, as a map of what Data Scientist jobs ask for. Lead with the skills you already have that appear here, and our career change resume guide covers how to frame experience from another field.

Can I copy this resume?

Use it as a model, not a template to paste. The structure, the wording of the skills and the way each bullet pairs a tool with a result all transfer. The numbers have to be yours.

Is this a real person's resume?

No. The candidate and employers are invented. No real resume is shown on this page or anywhere in our Insights.

Tailor your Data Scientist resume

Scan your resume against the job you want and see exactly which keywords are missing.

Scan my resume free Data Scientist keywords