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In short

Of the 122 research scientist roles at tech companies whose requirements we read in the 90 days to Oct 16, 2026, Machine Learning is required in 73 of 122 (60%), Python in 61 of 122 (50%) and PyTorch in 43 of 122 (35%). Name the ones you have in your latest jobs, next to what you built with them.

Degree required, no alternative
38 of 121 (31%)
Of the roles we could read for it

The skills these postings ask for most

Counts are out of the 122 roles whose requirements we could read; the 10 asked for most in each list.

Required
SkillRoles asking
Machine Learning
73 of 122 (60%)
Python
61 of 122 (50%)
PyTorch
43 of 122 (35%)
AI
27 of 122 (22%)
LLMs
26 of 122 (21%)
Reinforcement Learning
24 of 122 (20%)
Experimentation
22 of 122 (18%)
Deep Learning
21 of 122 (17%)
Statistics
19 of 122 (16%)
Computer Vision
17 of 122 (14%)
Preferred
SkillRoles asking
Machine Learning
14 of 122 (11%)
Open Source
13 of 122 (11%)
Reinforcement Learning
10 of 122 (8%)
Generative AI
9 of 122 (7%)
Model Evaluation
9 of 122 (7%)
AI
8 of 122 (7%)
C++
8 of 122 (7%)
GPU Computing
6 of 122 (5%)
PyTorch
6 of 122 (5%)
Data Pipelines
5 of 122 (4%)

What to put first

  1. Lead with Machine Learning, Python and PyTorch

    They are the required skills named most, with their counts in the table above. Put the ones you have in your skills line and in the bullets of your latest job, each next to what you did with it.

  2. Then Open Source and Reinforcement Learning, if you have them

    Preferred, not required: Open Source in 13 of 122 (11%) and Reinforcement Learning in 10 of 122 (8%). Add them where they are true; leaving one out costs less than claiming it.

  3. Make 3+ years easy to count

    Among roles that state years, 39 of 54 (72%) ask for at least 3 years. Give every job a start and end month and year, so a reader can add them up.

  4. Education can go last

    38 of 121 (31%) roles require a degree with no alternative; the rest accept experience instead, prefer one or do not mention it. Lead with your work.

What changes by level

No two neighbouring research scientist levels have 50 or more roles whose requirements we read yet, so levels are not compared. The career path lists each level and its roles.

Research scientist career path

Bullet patterns

Replace every bracket with your own facts. Keep only numbers you can explain in an interview.

  • Pattern, not a real resume

    Built [system] that [what it does] for [team or users], using Machine Learning; [metric] after [time].

  • Pattern, not a real resume

    Used Python to cut [metric] from [before] to [after] by [change you made].

  • Pattern, not a real resume

    Applied PyTorch to [problem], which [made it cheaper, faster or more reliable] by [amount].

  • Pattern, not a real resume

    Led [project] with [number] people across [teams]; shipped [outcome] in [time].

Gaps to check before you send it

  • A required skill you use but never name

    If you work with Machine Learning and Python but your bullets only say what the product did, a reader looking for the skill will not find it. Name it where you used it.

  • Dates that do not add up

    Most roles that state years ask for at least 3 years. Missing months, overlaps and unexplained gaps make that hard to count.

  • Bullets without an outcome

    A bullet that names a tool but not what changed reads as a list of tasks. Add what moved and by how much, or what shipped.

More on research scientist roles

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How we count: 122 roles from 85 employers in the 90 days to Oct 16, 2026, each role counted once however many boards post it. Methodology