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Data Scientist resume keywords: what 138 real job posts ask for
We collected 138 open data scientist job posts from 46 companies on November 8, 2026 and counted how often each skill, tool, and credential appears. Use this list to see what employers ask for. Then check your resume against the one job you are applying to, because that post is the list that counts.
Key takeaways
- The five keywords that appear most often in data scientist job posts: Python (96%), SQL (92%), Statistics (83%), Experimentation (78%), Data analysis (72%).
- A share is the percent of posts that mention the keyword at least once. No single post asks for all of them.
- Add a keyword only if it is true for you. Then use the job post's exact words for it.
Share of 138 data scientist job posts from 46 companies that mention each keyword at least once. Collected November 8, 2026 from public Greenhouse, Lever, and Ashby job boards.
Every keyword we measured for data scientist resumes
These are all the keywords that appear in at least 8% of the 138 posts, grouped by type.
Skills and methods
| Keyword | Share of posts |
|---|---|
| Statistics | 83% |
| Experimentation | 78% |
| Data analysis | 72% |
| Machine learning | 67% |
| Causal inference | 45% |
| Forecasting | 27% |
| Data visualization | 26% |
| A/B testing | 21% |
| Data pipelines | 19% |
| Model evaluation (evals) | 18% |
| Data quality | 10% |
| Data modeling | 9% |
| Deep learning | 9% |
| MLOps | 9% |
Tools and technologies
| Keyword | Share of posts |
|---|---|
| Python | 96% |
| SQL | 92% |
| R | 34% |
| LLMs | 20% |
| AI agents | 17% |
| Spark | 14% |
| scikit-learn | 12% |
| dbt | 11% |
| Snowflake | 11% |
| PyTorch | 11% |
Degrees, licenses, and certifications
| Keyword | Share of posts |
|---|---|
| PhD | 38% |
| Computer science degree | 38% |
| Master's degree | 30% |
| Bachelor's degree | 25% |
Job titles in this data
The most common titles among these posts. If a post uses one of these exact titles, use it in your resume headline when it is true for you.
How to use these data scientist keywords
- Start from the job post, not this list. This list shows what is common. The post you apply to shows what that recruiter will search for.
- Use the post's exact words. If the post says "Python", write "Python", not a synonym. Recruiters search with the words from their own post.
- Prove each keyword in a bullet. A skills list helps the search. A bullet with a result convinces the person who reads it.
- Leave out what is not true. An interviewer will ask about every keyword on your resume.
Where these numbers come from
On November 8, 2026 we collected 16,943 open job posts from 98 companies through their public Greenhouse, Lever, and Ashby job board APIs. We sorted posts into roles by job title and removed duplicates. Then we matched each post against a fixed list of keywords and their common spellings. To keep one large company from setting the result, we used at most 25 posts per company per role. Most of these companies are US tech companies, so the shares can differ in other industries. Full method and limits.
Questions
What are the most important keywords for a data scientist resume?
In 138 data scientist job posts collected on November 8, 2026, the keywords that appeared most often were Python (96%), SQL (92%), Statistics (83%), Experimentation (78%), Data analysis (72%). The most important keywords for your resume are the ones in the specific job post you apply to.
Should I put every data scientist keyword on my resume?
No. Add only the skills and tools you really have, and prove them in your bullets. Recruiters and interviewers check the keywords on your resume.
How were these keywords measured?
We matched 138 data scientist job posts from 46 companies against a fixed list of keywords and spellings, counted each keyword once per post, and used at most 25 posts per company.