What to put on a data scientist resume at tech companies · 416 roles · 90 days to Oct 16, 2026
Updated
In short
Of the 416 data scientist roles at tech companies whose requirements we read in the 90 days to Oct 16, 2026, Python is required in 344 of 416 (83%), SQL in 287 of 416 (69%) and Statistics in 227 of 416 (55%). Name the ones you have in your latest jobs, next to what you built with them.
- Degree required, no alternative
- 147 of 398 (37%)
- Of the roles we could read for it
The skills these postings ask for most
Counts are out of the 416 roles whose requirements we could read; the 10 asked for most in each list.
| Skill | Roles asking |
|---|---|
| Python | 344 of 416 (83%) |
| SQL | 287 of 416 (69%) |
| Statistics | 227 of 416 (55%) |
| Machine Learning | 223 of 416 (54%) |
| Experimentation | 136 of 416 (33%) |
| R | 93 of 416 (22%) |
| AI | 84 of 416 (20%) |
| Statistical Modeling | 81 of 416 (19%) |
| Causal Inference | 77 of 416 (19%) |
| LLMs | 67 of 416 (16%) |
| Skill | Roles asking |
|---|---|
| Machine Learning | 41 of 416 (10%) |
| LLMs | 38 of 416 (9%) |
| AI | 32 of 416 (8%) |
| AWS | 32 of 416 (8%) |
| Experimentation | 32 of 416 (8%) |
| Statistics | 28 of 416 (7%) |
| Causal Inference | 25 of 416 (6%) |
| Data Pipelines | 24 of 416 (6%) |
| Data Visualization | 24 of 416 (6%) |
| dbt | 23 of 416 (6%) |
What to put first
Lead with Python, SQL and Statistics
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.
Then Machine Learning and LLMs, if you have them
Preferred, not required: Machine Learning in 41 of 416 (10%) and LLMs in 38 of 416 (9%). Add them where they are true; leaving one out costs less than claiming it.
Make 5+ years easy to count
Among roles that state years, 203 of 318 (64%) ask for at least 5 years. Give every job a start and end month and year, so a reader can add them up.
Education can go last
147 of 398 (37%) roles require a degree with no alternative; the rest accept experience instead, prefer one or do not mention it. Lead with your work.
Going for senior? Show Machine Learning
Machine Learning is required in 36 of 75 (48%) mid-level roles and 83 of 148 (56%) senior roles. If you have done that work, say where.
What changes by level
The data scientist career path compares each level with the next: the required skills that rise, the years asked and the median stated pay where it shows.
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 Python; [metric] after [time].
Pattern, not a real resume
Used SQL to cut [metric] from [before] to [after] by [change you made].
Pattern, not a real resume
Applied Statistics 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 Python and SQL 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 5 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.
Work at the next level, hidden by a title
Senior roles ask for Machine Learning and Experimentation more often than mid-level roles do. If you did that work, say so, whatever your title was.
More on data scientist roles
How we count: 416 roles from 300 employers in the 90 days to Oct 16, 2026, each role counted once however many boards post it. Methodology