Skip to main content
Technology

Data Scientist resume keywords

Core keywords are the skill list on the Data Scientist resume example. Supporting keywords are skills-catalog entries that name this role.

See the matching Data Scientist resume example. For which applicant tracking systems large employers use, read the State of ATS 2026 report.

Check your Data Scientist resume

The ATS checker opens with Data Scientist filled in as the target role, along with the keyword list on this page. Paste your resume there. Free, no signup.

Counted on 2026-10-10 from 264 public job postings whose titles match Data Scientist. Those postings came from Ashby, Greenhouse, Lever, and SmartRecruiters. A posting is counted for this role when the longest published job-title phrase in its title is Data Scientist. The crawl queried Greenhouse, Lever, Ashby, and SmartRecruiters for 133 employers in the State of ATS 2026 dataset that use those vendors, and for 279 additional public boards from the extended coverage tier. The extended boards are not part of the 738-company statistics. 361 boards returned postings out of 412 boards attempted, and 46923 postings were scanned. HTML was stripped before counting, and each posting counts once per term. Phrases beyond the published skill list are the most common two- and three-word phrases in the matched postings. Posting text is not stored. A role page shows these percentages only when at least 30 descriptions were counted.

Core keywords

These are the terms to put on the resume when they match work you have done.

  • Python

    91% of 264 recent postings mention Python.

  • Machine Learning

    53% of 264 recent postings mention Machine Learning.

  • TensorFlow

    9% of 264 recent postings mention TensorFlow.

  • SQL

    82% of 264 recent postings mention SQL.

  • Pandas

    6% of 264 recent postings mention Pandas.

  • Statistics

    61% of 264 recent postings mention Statistics.

  • NLP

    5% of 264 recent postings mention NLP.

  • Deep Learning

    10% of 264 recent postings mention Deep Learning.

  • R

    31% of 264 recent postings mention R.

  • Scikit-learn

    9% of 264 recent postings mention Scikit-learn.

Supporting keywords
Phrases from recent postings

These phrases showed up often in the matched postings and are not already on the published skill list.

  • data scientist

    81% of 264 recent postings mention data scientist.

  • data science

    81% of 264 recent postings mention data science.

  • cross functional

    47% of 264 recent postings mention cross functional.

  • computer science

    42% of 264 recent postings mention computer science.

  • causal inference

    39% of 264 recent postings mention causal inference.

  • data scientists

    36% of 264 recent postings mention data scientists.

  • data driven

    33% of 264 recent postings mention data driven.

  • decision making

    33% of 264 recent postings mention decision making.

  • track record

    33% of 264 recent postings mention track record.

  • quantitative field

    31% of 264 recent postings mention quantitative field.

  • non technical

    29% of 264 recent postings mention non technical.

  • product engineering

    27% of 264 recent postings mention product engineering.

Where to place them

  1. 1

    Headline

    Put the target title and two core terms on the line under your name: Data Scientist | Python | Machine Learning.

  2. 2

    Skills

    List the core terms together in the skills section: Python, Machine Learning, TensorFlow, SQL, Pandas, Statistics, NLP, Deep Learning, R, Scikit-learn.

  3. 3

    Experience

    Use Python, Machine Learning, TensorFlow inside bullets for work you did in this role, next to the result.

  4. 4

    Supporting terms

    Add these in the skills section or a bullet when you have used them: MATLAB, Data Analysis, Natural Language Processing, Computer Vision, PyTorch, NumPy, Apache Spark, A/B Testing, Statistical Analysis, Data Visualization, Research, Databricks, Dataiku DSS, KNIME Analytics Platform.

Sample lines from the resume example

These lines are already published on the Data Scientist resume example. Use them as a pattern for where a keyword sits next to a result, and replace the details with your own.

  • Built ML prediction model that increased revenue by $2.3M annually through improved customer targeting
  • Developed NLP pipeline processing 100K+ documents daily with 94% classification accuracy
  • Created automated reporting dashboard reducing analyst time by 20 hours per week
  • Led A/B testing framework design, enabling 50+ concurrent experiments across product

Questions about Data Scientist keywords

What keywords should a Data Scientist resume include?

Core keywords for a Data Scientist resume are Python, Machine Learning, TensorFlow, SQL, Pandas, Statistics, NLP, Deep Learning, R, Scikit-learn. Core keywords are the skill list on the Data Scientist resume example. Supporting keywords are skills-catalog entries that name this role. Percentages are the share of 264 public postings fetched on 2026-10-10 whose titles match this role.

Where should Data Scientist keywords go on a resume?

Headline: Put the target title and two core terms on the line under your name: Data Scientist | Python | Machine Learning. Skills: List the core terms together in the skills section: Python, Machine Learning, TensorFlow, SQL, Pandas, Statistics, NLP, Deep Learning, R, Scikit-learn. Experience: Use Python, Machine Learning, TensorFlow inside bullets for work you did in this role, next to the result. Supporting terms: Add these in the skills section or a bullet when you have used them: MATLAB, Data Analysis, Natural Language Processing, Computer Vision, PyTorch, NumPy, Apache Spark, A/B Testing, Statistical Analysis, Data Visualization, Research, Databricks, Dataiku DSS, KNIME Analytics Platform.

How do I check a Data Scientist resume?

Open the free ATS checker with Data Scientist prefilled, paste your resume, and compare it with the keyword list on this page.

More Technology keywords