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Data Scientist resume keywords
The skills, tools and terms recruiters search for when hiring a data scientist, and a free check of which ones your resume is missing.
Name the model types and the libraries, then the measurable business impact of the model in production.
Skills and keywords
Tools and software
Soft skills
Use the exact wording from the posting you are applying to. Only include what is true for you.
Example data scientist resume bullets
Keywords work best inside achievements. Each example pairs a keyword with a number:
- Built a churn model (XGBoost, AUC 0.87) that drove a retention campaign worth $1.2M per year
- Designed and analyzed 30+ A/B tests, increasing trial-to-paid conversion by 11%
- Deployed a demand forecasting model that cut stockouts by 18% across 200 stores
Check your resume for data scientist keywords
Paste your resume below. It is compared with the keywords above on your device, and your resume is not uploaded. Have a specific posting? Switch to "Job description" for a precise match.
Read on your device. Never uploaded.
Paste the whole posting, including requirements.
Compares your resume with the keywords recruiters typically search for in this role. A real job description gives a more precise match.
Where to put keywords
- Summary: your job title in the posting's words plus your two strongest matching skills.
- Skills section: tools and hard skills, spelled the way the posting spells them.
- Experience bullets: each important skill used in a sentence with a result. A skill that appears only in a list is weak evidence.
More in how to tailor your resume in 15 minutes and how to add numbers to your bullets.