Data Science Jobs in United States
There are 4,530 open Data Science jobs in United States on freehire right now. 1,064 of them were posted recently. The skills employers ask for most often are data-science, machine-learning and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $154,350 | $184,750 | $217,012 | 906 |
| USD | hour | $30 | $33 | $48 | 28 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- data-science 71%
- machine-learning 65%
- python 64%
- analytics 58%
- ai 55%
- sql 50%
- statistics 46%
- cloud 30%
How the work is done
- Remote 720 · 16%
- Hybrid 639 · 14%
- Onsite 237 · 5%
Visa sponsorship offered in 45% of the 902 postings that state a position on it.
Seniority
- Senior 1,260
- Lead 271
- Staff 262
- Principal 246
- Intern 111
- Middle 87
Who is hiring
- 1000+ employees 1,164
- 501-1000 employees 335
- 51-200 employees 88
- 11-50 employees 48
- 201-500 employees 15
- 1-10 employees 3
Data Scientist
Build and deploy AI/ML and GenAI models to power underwriting and claims decisions for specialty insurance products like manufactured homes and recreational vehicles.
Data Analyst / Data Scientist (2-4 years)
Analyze business data and build models to extract insights and solve real-world problems for clients in a full-time role.
Data Scientist (NH-3)
Builds automated security evaluation models to replace manual processes, focusing on continuous assessment and network data analysis for government systems.
Data Scientist
Build and prototype ML models using Python, Pandas, NumPy, and Scikit-learn, with exposure to generative AI and LLM platforms.
GENAI / MACHINE LEARNING AI / DATA Scientist
Build AI/ML prototypes and PoCs using GenAI and machine learning for a client in Wilmington, NC.
Senior Data Scientist Job
Build and deploy predictive models (turnout, partisanship) using voter files and large datasets to guide civic campaigns, while mentoring junior team members and collaborating with engineering/product teams.