Data Science Jobs in United States
There are 4,541 open Data Science jobs in United States on freehire right now. 1,063 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 239 · 5%
Visa sponsorship offered in 45% of the 903 postings that state a position on it.
Seniority
- Senior 1,262
- Lead 271
- Staff 263
- Principal 246
- Intern 111
- Middle 87
Who is hiring
- 1000+ employees 1,166
- 501-1000 employees 335
- 51-200 employees 88
- 11-50 employees 48
- 201-500 employees 15
- 1-10 employees 3
Lead Data Scientist
Lead a team building AI/ML models for spatial intelligence, focusing on anomaly detection, predictive analytics, and agent-based modeling to support defense and intelligence missions using Python, SQL, and cloud-native tools.
Data Science Technical Advisor
Senior data scientist building and deploying models for oilfield cementing workflows, cleaning data, and collaborating with domain experts to improve energy-industry processes.
Data Scientist
Build and deploy data-science models in Python to extract insights from large datasets and support business decisions at a telecom/media company.
Data Scientist
Senior Data Scientist builds and deploys predictive models and automated data products to solve business problems in an edtech company.
Data Scientist
Senior AI Scientist building Generative AI and Document Intelligence models, designing RAG architectures, and deploying scalable ML solutions on AWS and Databricks.

Data Scientist (Remote)
Build and ship AI routing models and analytics that optimize LLM usage for developers, turning billions of model interactions into product improvements and customer-facing insights.

Senior Data Scientist, Marketing (Remote)
Build predictive marketing models (customer intent, next-best-action, marketing mix) to drive customer acquisition and budget allocation using Python, SQL, and ML frameworks.
Director of Data Science, Performance Marketing
Lead a team of data scientists and engineers to optimize Root’s performance marketing engine using statistical ML, bidding systems, and measurement frameworks to maximize marketing ROI.
Data Science Manager, Digital Partnerships (Remote)
Lead a team of data scientists to optimize Root Insurance’s digital partnership channel, using pricing, underwriting, and experimentation to improve customer acquisition economics and profitability.
Sr Data Scientist
Build and deploy machine learning and generative AI models to modernize service recovery workflows, working hands-on with data prep, model training, and integration.
Senior Data Science Analyst
Designs and optimizes enterprise-scale data pipelines, warehouses, and ETL/ELT processes with a focus on reliability and scalability.
Data Science Lead, MLOps & Advanced Analytics
Lead the design and deployment of production-grade ML/AI systems using Azure ML, Databricks, and PySpark, ensuring scalable, reproducible, and monitored models in a CI/CD/CT pipeline.
Data Scientist 2 with Security Clearance
Sentar is dedicated to developing the critical talent that the connected world demands to create solutions to address the convergence of cybersecurity, intelligence, analytics, and systems engineering. We invite you to…
Project Data Scientist and Analytics
Lead analytics projects for government clients, building data pipelines, ML models, and dashboards to drive decision-making and operational improvements using Python, SQL, and BI tools.
Senior Data Scientist
Senior Data Scientist builds and deploys ML models, cleans messy enterprise data, and translates insights into business impact using Python, SQL, and cloud tools.