MANY Hired

Research scientist resume keywords

We counted the skills in 425 open research scientist job postings from 114 employers, including Jump Trading, SentinelOne and Jane Street. The ones employers ask for most are machine learning (67% of postings), Python (32%) and LLMs (28%). 67% of the postings mention AI, though often in the company's description rather than as a skill the job needs.

Top skills and tools in research scientist postings

#KeywordShare of postings
1machine learning 67%
2Python 32%
3LLMs 28%
4prototyping 25%
5statistics 23%
6deep learning 21%
7algorithms 19%
8A/B testing 16%
9PyTorch 15%
10trading 14%
11automation 13%
12analytics 13%
13product roadmap 12%
14C++ 11%
15generative AI 10%
16UX 9%
17customer experience 8%
18sales 8%
19NLP 8%
20TensorFlow 8%
21forecasting 8%
22shipping 8%
23data analysis 8%
24marketing 7%
25cybersecurity 7%
26computer vision 6%
27robotics 5%
28SQL 5%
29data pipelines 5%
30product design 5%

Share of the 425 postings whose description names the skill (plurals and common spellings, such as “JS” and “JavaScript”, count as one).

Soft skills employers mention

collaboration · 17%creativity · 12%communication · 9%cross-functional · 8%leadership · 8%ownership · 6%analytical skills · 5%decision making · 4%

Show these through results in your bullets (“led a team of six”) rather than listing them as adjectives.

How to use these keywords on your research scientist resume

  1. Start with the posting, not this list. These are averages across 425 jobs; the one you're applying for has its own priorities. Use this page to spot common gaps, then match the specific posting.
  2. Name skills the way employers do. If you use “machine learning”, “Python” and “LLMs”, write those exact words. Applicant tracking systems and recruiters search for them, and a close synonym can be missed.
  3. Put each skill in a bullet that shows a result. Naming prototyping inside a bullet about what you achieved with it, with a number where you can, is stronger than listing it alone in a skills section.
  4. Add only what's true. If you've worked with “prototyping”, “statistics” and “deep learning” but your resume doesn't say so, add it. If you haven't, leave it out: interviews expose padded resumes quickly.

More about research scientist jobs

Resume keywords for other jobs

How these numbers are calculated

Every figure comes from open research scientist job postings on MANY Hired, imported from employers' own career pages. For each posting we pick out the skills, tools, certifications and qualifications its description names, then count how many postings ask for each one. A job counts as research scientist by its title. Updated October 28, 2026.