$103,972
mediana · por ano, anualizado em USD
$163,800
mediana · por ano, anualizado em USD
PGIM Credit | Senior Analyst, Sustainable Investment Reporting & Strategy
Staff Analyst, Product Analytics
Senior Data Scientist / Analyst, Product
Senior Data Scientist / Analyst, Institutional
Senior Data Scientist / Analyst, Markets
Senior Data Scientist / Analyst, Fraud & Risk
Senior Data Scientist / Analyst, Finance
Senior Data Scientist / Analyst, Growth
Senior Quantitative Analyst, Market Analytics
Quantitative AI and Data Analyst - Executive Director
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 | Funções |
|---|---|---|
Booz Allen Hamilton
|
$126,750 | 22 |
PNC
|
$129,125 | 20 |
CACI
|
$121,950 | 11 |
Bank of America
|
$116,800 | 11 |
Northrop Grumman
|
$114,700 | 11 |
Accenture Federal Services
|
$112,900 | 10 |
KeyBank
|
$98,000 | 10 |
Air Apps
|
$63,314 | 10 |
| Empresa | Mediana | Funções |
|---|---|---|
Weekday AI
|
$202,800 | 2 |
Target
|
$197,000 | 2 |
Workday
|
$150,400 | 2 |
RELX
|
$140,450 | 2 |
Booz Allen Hamilton
|
$126,300 | 2 |
Shirley Ryan AbilityLab
|
$88,225 | 2 |
Garner Health
|
$324,500 | 1 |
AiDASH, Inc.
|
$250,000 | 1 |
| Local | Mediana | Funções |
|---|---|---|
| Austin | $144,550 | 10 |
| San Francisco | $140,000 | 32 |
| Denver | $130,591 | 16 |
| Los Angeles | $128,400 | 12 |
| New York | $118,058 | 133 |
| Seattle | $115,500 | 12 |
| Boston | $115,500 | 26 |
| Chicago | $110,000 | 63 |
| Atlanta | $102,500 | 19 |
| Singapore | $94,640 | 7 |
A mediana para Data Analyst é $103,972 por ano (normalmente $80,200–$130,763), contra $163,800 para MLOps ($137,000–$193,500). Isso coloca MLOps cerca de 58% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então Data Analyst e MLOps são comparados em igualdade de condições, independentemente da moeda em que cada vaga foi originalmente publicada. Apenas as vagas que publicam uma faixa salarial alimentam as medianas; os números são atualizados a cada poucas horas conforme novas vagas são publicadas e as antigas são encerradas, então esta comparação reflete o mercado agora, e não uma pesquisa fixa. Use-a como referência direcional ao pesar um caminho contra o outro.