Data Science Jobs in United States
There are 4,559 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 | $154,450 | $184,750 | $217,312 | 912 |
| 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 722 · 16%
- Hybrid 638 · 14%
- Onsite 237 · 5%
Visa sponsorship offered in 45% of the 898 postings that state a position on it.
Seniority
- Senior 1,265
- Lead 272
- Staff 262
- Principal 245
- Intern 119
- Middle 85
Who is hiring
- 1000+ employees 1,157
- 501-1000 employees 333
- 51-200 employees 88
- 11-50 employees 47
- 201-500 employees 15
- 1-10 employees 3
Morgan Health - Data Science & Research - Senior Associate
Senior Associate on Morgan Health’s data science and research team, analyzing employer-sponsored healthcare data to improve quality, equity, and affordability.
Amazon Applied Scientist, Core Shopping Data Science
Builds compact ML models to optimize Amazon’s shopping ranking systems using LLM-derived quality signals, quantifies customer impact of defects, and tests changes in live experiments.
Amazon Applied Scientist, Core Shopping Data Science
Build and scale LLM-based pipelines to measure customer-perceived defects in Amazon’s shopping experience, from search to product pages, and publish reusable tooling for other teams.
Amazon Data Scientist, Transportation Science
Build and deploy ML/optimization models for Amazon’s middle-mile logistics, including forecasting and network planning, using Python, SQL, and AWS services.
Amazon Data Scientist, Enterprise Security Products
Build AI-powered security tools at Amazon scale: design ML models for threat detection, agentic systems, and automated response across multi-cloud environments using Python, agentic coding, and LLM workflows.
Principal Data Scientist
Lead enterprise AI engineering at a large utility: design scalable agentic and generative AI systems in Python/AWS Bedrock, set standards, and guide production deployment for safety, reliability, and operational efficiency.
AI and Data Science Engineer III with TS/SCI Polygraph
Builds AI-driven workforce analytics tools using Python, R, and Tableau to predict attrition, forecast demand, and enable natural-language queries of HR data.
AI and Data Science Engineer III with TS/SCI Polygraph with Security Clearance
Builds AI models and analytics dashboards to forecast workforce needs and skills gaps for government clients using data science and visualization tools.
Director of Data Science, Risk Monitoring
Lead a team building AI/ML models and decision frameworks to monitor fraud and credit risk for Fiserv’s merchant payment solutions, using transaction and third-party data.
Principal Associate Data Scientist, Cash Flow Underwriting
Build and deploy machine-learning models to predict creditworthiness from cash-flow and transaction data using Python, Spark, and AWS.
Senior Data Scientist (Remote)
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
Data Science Team Leader
Lead a new US-based data science team at bet365, building and deploying ML models in Python while mentoring engineers and shaping scalable AI workflows on GCP.
Principal Data Automation Engineer/ Data Scientist, Supply Chain
Designs and builds AI-driven data platforms and predictive analytics to automate Oracle’s global supply-chain operations.
Senior Data Analyst, Media Data Science & Analytics (eCommerce)
Analyze media and ecommerce data to optimize digital experiences and paid media campaigns using advanced analytics, experimentation, and AI insights.