$167,725
mediana · por año, USD anualizado
$172,500
mediana · por año, USD anualizado
Data Scientist, Ads Demand
Data Scientist, Cybersecurity
Data Scientist, FinEng
Data Scientist, SMB Ads Growth
Data Scientist, B2B Strategy & Intelligence
Product Data Scientist - Youth, Families and Learning
Staff Data Scientist - Growth & Marketing ($400k - $500k)
Research Scientist - Environments, Data and Post-Training
Senior / Staff Data Scientist, Applied AI
Data Scientist
Staff Machine Learning Operations Engineer
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Principal Machine Learning Operations Engineer
Lead ML Engineer - Advance AI (applied ML, LLM's, ML Ops)
Senior / Staff ML Ops Engineer
Lead Software Platform Engineer, MLOps
Staff MLOps Engineer
Software Engineer - ML Ops (R37)
Senior Staff ML Ops Engineer
Matterport - Senior ML Ops Engineer
| Empresa | Mediana | Puestos |
|---|---|---|
Booz Allen Hamilton
|
$126,800 | 115 |
Leidos
|
$151,475 | 21 |
OpenAI
|
$339,000 | 17 |
Roche
|
$229,800 | 17 |
Accenture Federal Services
|
$166,850 | 16 |
RELX
|
$127,050 | 15 |
Faire
|
$250,750 | 14 |
Lyft
|
$159,627 | 14 |
| Empresa | Mediana | Puestos |
|---|---|---|
Weekday AI
|
$202,800 | 2 |
Target
|
$197,000 | 2 |
Workday
|
$150,400 | 2 |
RELX
|
$140,450 | 2 |
Booz Allen Hamilton
|
$126,300 | 2 |
Garner Health
|
$324,500 | 1 |
AiDASH, Inc.
|
$250,000 | 1 |
TetraScience
|
$235,000 | 1 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| San Francisco | $220,000 | 219 |
| Seattle | $205,025 | 72 |
| New York | $198,000 | 200 |
| Singapore | $187,200 | 3 |
| Boston | $174,375 | 42 |
| Austin | $167,500 | 21 |
| Denver | $166,725 | 14 |
| Los Angeles | $162,100 | 30 |
| Chicago | $153,950 | 48 |
| Atlanta | $145,720 | 15 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| San Francisco | $188,225 | 6 |
| New York | $186,350 | 6 |
| Seattle | $172,500 | 3 |
| Boston | $162,500 | 3 |
| Toronto | $139,307 | 3 |
La mediana de Data Scientist es de $167,725 por año (normalmente $131,738–$214,875), frente a $172,500 de MLOps ($139,500–$196,000). Eso pone a MLOps alrededor de un 3% por delante en la mediana.
Ambas cifras se calculan en vivo a partir de ofertas activas en JobsRadar y se normalizan a USD anualizado, de modo que Data Scientist y MLOps se comparan en igualdad de condiciones independientemente de la moneda en la que se publicó originalmente cada puesto. Solo los puestos que publican un rango salarial alimentan las medianas; las cifras se actualizan cada pocas horas a medida que se publican nuevos puestos y se cierran los antiguos, así que esta comparación refleja el mercado actual y no una encuesta fija. Úsala como referencia orientativa al sopesar un camino frente a otro.