Data Scientist : marché
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 3 261 open positions for this role, 3 108 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.
Le marché Data Scientist compte actuellement 3 261 postes ouverts, dont 3 108 observés récemment. Median salary $9 963/mo.
32% of Data Scientist postings allow fully remote work; the share counts only postings that state the format.
⚠ salary known for 266 of 3261 jobs; remote share from 2732 with a stated format; 3108 counted as fresh observations; trend and hiring difficulty are not shown
Demande et offre observée: Data Scientist
| Demande ouverte | 3 261 |
| Offre observée | — non publié |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Distribution des salaires: Data Scientist
Un sur dix gagne moins de $3 990, un sur dix plus de $16 250. La moitié du marché se situe entre $6 304 et $14 166. Échantillon: 266.
The range histogram for Data Scientist uses only postings with an explicit compensation range; the median is computed over the same sample.
Géographie de la demande: Data Scientist
| pays | offres |
|---|---|
| US | 909 |
| GB | 379 |
| SG | 232 |
| PL | 203 |
| IN | 152 |
| DE | 129 |
| CA | 109 |
| FR | 83 |
| BR | 47 |
| RU | 38 |
The top country for Data Scientist demand is the US (909 positions).
⚠ job counts only: salary by country is not published
Utilisée avec
In Data Scientist requirements the most frequently named skills and technologies are Python, SQL, AWS and LLM.
Demande par niveau: Data Scientist
| niveau | offres |
|---|---|
| senior | 1 112 |
| principal | 338 |
| lead | 205 |
| middle | 99 |
| junior | 88 |
Senior-and-above is about 90% of 1 842 Data Scientist postings with an explicit grade.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employeurs: Data Scientist
La demande est répartie entre 1 546 employeurs. Le plus grand en représente 3.1 %, les dix premiers 11.2 % ; les 88.8 % restants forment la longue traîne.
| part | valeur |
|---|---|
| top 1 | 3.1% |
| top 3 | 6.6% |
| top 10 | 11.2% |
| longue traîne | 88.8% |
Data Scientist openings come from 1 546 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
Où Zorky voit ce marché
Observé sur 103 sources ; la plus grande en représente 22.9 % : ce marché ne repose pas sur un seul canal.
Data Scientist postings arrive mostly from ATS & career sites and job boards & aggregators.
Postes récents: Data Scientist
- SAS Data Scientist (modele optymalizacyjne) · PL · $4 500
- Data Scientist / Manager · US
- Senior Data Scientist/AI Engineer - Generative AI · SE
- Principal Data Scientist · US
- Senior Data Scientist · US
- SAS Data Scientist (prognozowanie popytu) · PL · $4 500
- Data Scientist (Operations) · NL
- Data Scientist · US
Marchés voisins
⚠ adjacent markets for comparison are not defined yet
Comment c'est mesuré
- Offre
- an open job that cleared the quality gate and lists at least two technologies
- Candidat observé
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Candidat correspondant
- not counted yet
- Fenêtre
- jobs open at the moment the snapshot was built
À propos des données
- Certaines ventilations sont masquées : leur couverture de données n'est pas encore suffisante.
- Les statistiques ne sont affichées que là où l'échantillon passe un contrôle qualité.
- Un bloc absent ne signifie pas une valeur nulle.
Ventilations masquées actuellement : 8.
Données au 2026-10-26
Questions fréquentes
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 3 261 open positions.
Obtenez tous les détails du marché Data Scientist
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