Data Scientist: mercado
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 3 311 open positions for this role, 3 116 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.
El mercado de Data Scientist tiene ahora 3311 puestos abiertos, 3116 de ellos observados recientemente. Median salary $10.000/mo.
32% of Data Scientist postings allow fully remote work; the share counts only postings that state the format.
⚠ salary known for 276 of 3311 jobs; remote share from 2765 with a stated format; 3116 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Data Scientist postings appeared each week since May 11, 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: 228
New sources connected: May 18 +9 · May 25 +5 · Jun 1 +10 · Jun 8 +2 · Jun 15 +7 · Jun 22 +18 · Jun 29 +35 · Jul 6 +21 · Jul 13 +18 · Jul 20 +20 · Jul 27 +11 · Aug 3 +6 · Aug 10 +1 · Aug 24 +1 · Aug 31 +1 · Sep 7 +2 · Sep 14 +3 · Sep 21 +9 · Sep 28 +4 · Oct 5 +7 · Oct 12 +8 · Oct 19 +12
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 Aug 10: 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.
Demanda y oferta observada: Data Scientist
| Demanda abierta | 3311 |
| Oferta observada | — no publicado |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Distribución de salarios: Data Scientist
Uno de cada diez gana menos de $3990, uno de cada diez más de $16.250. La mitad del mercado está entre $6340 y $14.166. Muestra: 276.
The range histogram for Data Scientist uses only postings with an explicit compensation range; the median is computed over the same sample.
Geografía de la demanda: Data Scientist
| país | empleos |
|---|---|
| US | 945 |
| GB | 378 |
| SG | 244 |
| PL | 201 |
| IN | 161 |
| DE | 125 |
| CA | 110 |
| FR | 81 |
| BR | 49 |
| RU | 37 |
The top country for Data Scientist demand is the US (945 positions).
⚠ job counts only: salary by country is not published
Se usa junto con
In Data Scientist requirements the most frequently named skills and technologies are Python, SQL, AWS and LLM.
Demanda por nivel: Data Scientist
| nivel | empleos |
|---|---|
| senior | 1138 |
| principal | 335 |
| lead | 208 |
| junior | 124 |
| middle | 101 |
Senior-and-above is about 88% of 1 906 Data Scientist postings with an explicit grade.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Empleadores: Data Scientist
La demanda se reparte entre 1573 empleadores. El mayor concentra el 2.9%, los diez primeros el 10.9%; el 89.1% restante es cola larga.
| proporción | valor |
|---|---|
| top-1 | 2.9% |
| top-3 | 6.3% |
| top-10 | 10.9% |
| cola larga | 89.1% |
Data Scientist openings come from 1 573 distinct employers; the largest one accounts for only 2.9% 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
Dónde ve Zorky este mercado
Observado en 102 fuentes; la mayor concentra el 22.6%: este mercado no depende de un solo canal.
Data Scientist postings arrive mostly from ATS & career sites and job boards & aggregators.
Vacantes recientes: Data Scientist
- Аналитик данных / Risk Data Scientist (Кредитный риск) · RU
- Data Scientist · US
- Data Scientist · GT
- Data Scientist · PL
- Senior Data Scientist · PL
- Data Scientist · SE
- Senior Data Scientist · US
- Data Scientist (Consultant/ Senior Consultant) - Government Project · SG
Mercados adyacentes
⚠ adjacent markets for comparison are not defined yet
Cómo se mide
- Vacante
- an open job that cleared the quality gate and lists at least two technologies
- Candidato observado
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Candidato emparejable
- not counted yet
- Ventana
- jobs open at the moment the snapshot was built
Sobre los datos
- Algunos desgloses están ocultos: su cobertura de datos aún no es suficiente.
- Las estadísticas se muestran solo donde la muestra supera un control de calidad.
- Que falte un bloque no significa que el valor sea cero.
Desgloses ocultos actualmente: 8.
Datos a 2026-10-27
Preguntas frecuentes
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 3 311 open positions.
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