Data Scientist: market
A Data Scientist turns data into decisions: builds forecasting and classification models, runs experiments and A/B tests, and explains to the business what the data shows. We currently track 3 280 open positions for this role, 3 145 of them fresh. The typical set is Python (pandas, scikit-learn), SQL, statistics and experiment design, one ML framework (PyTorch, XGBoost), visualization; increasingly — LLM work. By co-occurrence in requirements, Python, SQL, AWS and LLM appear most often. 32% of the postings allow fully remote work. Below is a live slice of the Data Scientist market: geography, seniority, adjacent stack and sources.
The Data Scientist market currently has 3,280 open roles, 3,145 of them freshly observed. Median salary $9,981/mo.
32% of Data Scientist postings allow fully remote work; the share counts only postings that state the format.
⚠ salary known for 260 of 3280 jobs; remote share from 2749 with a stated format; 3145 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Data Scientist postings appeared each week since 4 May, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 216
New sources connected: 11 May +9 · 18 May +5 · 25 May +5 · 1 Jun +8 · 8 Jun +1 · 15 Jun +7 · 22 Jun +18 · 29 Jun +35 · 6 Jul +21 · 13 Jul +18 · 20 Jul +19 · 27 Jul +11 · 3 Aug +6 · 10 Aug +1 · 24 Aug +1 · 31 Aug +2 · 7 Sept +2 · 14 Sept +3 · 21 Sept +9 · 28 Sept +4 · 5 Oct +7 · 12 Oct +7
Week = posting first-seen date, all statuses; postings are selected by the same rule as this page's counter. Sources are distinct collection channels; their names are not published.
Salaries over time
Median Data Scientist salary per week, USD per month.
Median salary, USD per month
Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.
Remote work over time
Share of Data Scientist postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Technologies over time
How the share of Data Scientist postings mentioning each of the top technologies changed.
Postings mentioning the technology, %
Share among postings with a tagged stack; the series starts on 10 Aug: earlier stack tags were assigned differently. Weeks with fewer than 20 tagged postings are left blank.
Countries over time
How the share of Data Scientist postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Demand and observed supply: Data Scientist
| Open demand | 3,280 |
| Observed supply | — not published |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution: Data Scientist
One in ten earns under $4,360, one in ten over $16,416. Half the market falls between $6,405 and $14,166. Sample: 260.
The range histogram for Data Scientist uses only postings with an explicit compensation range; the median is computed over the same sample.
Demand geography: Data Scientist
| country | jobs |
|---|---|
| US | 899 |
| GB | 393 |
| SG | 240 |
| PL | 198 |
| IN | 149 |
| DE | 138 |
| CA | 107 |
| FR | 83 |
| BR | 46 |
| RU | 39 |
The top country for Data Scientist demand is the US (899 positions).
⚠ job counts only: salary by country is not published
Used together with
In Data Scientist requirements the most frequently named skills and technologies are Python, SQL, AWS and LLM.
Demand by grade: Data Scientist
| grade | jobs |
|---|---|
| senior | 1,123 |
| principal | 340 |
| lead | 211 |
| middle | 97 |
| junior | 89 |
Senior-and-above is about 90% of 1 860 Data Scientist postings with an explicit grade.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers: Data Scientist
Demand is spread across 1,549 employers. The largest accounts for 3.1%, the top ten for 10.9%; the remaining 89.1% is long tail.
| share | value |
|---|---|
| top-1 | 3.1% |
| top-3 | 6.5% |
| top-10 | 10.9% |
| long tail | 89.1% |
Data Scientist openings come from 1 549 distinct employers; the largest one accounts for only 3.1% of postings — the market is not tied to a single hirer.
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 103 sources; the largest accounts for 22.8% — this market does not rest on a single channel.
Data Scientist postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings: Data Scientist
- Data Scientist · $8,667
- Senior Data Science Engineering Manager, Marketing · US
- Senior Data Science Engineer · GB
- Senior Data Scientist, CMC · INT
- Sr. Data Scientist Lead (Remote - UK, IRE, Spain or Romania)
- Data Scientist II (6-Month Term, Potential Extension) · CA
- AI Data Science Engineer · CA
- SAS Data Scientist · CA
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 8.
Data as of 2026-10-25
Frequently asked questions
Common questions about the Data Scientist role — short answers from the same data slice.
What does a Data Scientist do?
A Data Scientist turns data into decisions: builds forecasting and classification models, runs experiments and A/B tests, and explains to the business what the data shows.
Which skills do Data Scientist postings require?
The typical set is Python (pandas, scikit-learn), SQL, statistics and experiment design, one ML framework (PyTorch, XGBoost), visualization; increasingly — LLM work. In the current slice, Python, SQL, AWS and LLM appear in requirements most often.
What matters more for a Data Scientist — statistics or programming?
Both, but statistics is the foundation: without it models and experiments are easy to misread. Programming is needed at a solid Python and SQL level, while ML engineers often handle model deployment.
How remote-friendly are Data Scientist jobs?
32% of postings with an explicit format allow fully remote work; the slice tracks 3 280 open positions.
Get the full Data Scientist market details
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