Data Science Jobs in United States
There are 4,462 open Data Science jobs in United States on freehire right now. 1,068 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 | $152,375 | $182,350 | $215,012 | 936 |
| USD | hour | $30 | $33 | $45 | 29 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- data-science 71%
- machine-learning 65%
- python 64%
- analytics 57%
- ai 55%
- sql 51%
- statistics 46%
- cloud 30%
How the work is done
- Remote 702 · 16%
- Hybrid 620 · 14%
- Onsite 243 · 5%
Visa sponsorship offered in 46% of the 900 postings that state a position on it.
Seniority
- Senior 1,274
- Staff 264
- Lead 261
- Principal 240
- Intern 100
- Middle 93
Who is hiring
- 1000+ employees 1,169
- 501-1000 employees 332
- 51-200 employees 88
- 11-50 employees 47
- 201-500 employees 16
- 1-10 employees 3
Data Scientist
The Data Scientist will develop machine learning, statistical, and data mining solutions to support intelligence community missions. The role involves working with Python, cloud platforms, and large-scale datasets to build models for object detection, inference, and cyber data analysis.
Data Scientist
Job Description: We are seeking a Data Scientist to help build and maintain a robust evaluation framework for conversational AI systems. This role will focus on developing automated AI quality measurement solutions,…
Game Security Data Scientist
Build and refine ML models to detect cheating and abnormal behavior in Krafton’s games using large-scale player data and logs.
Senior Data Scientist
Senior Data Scientist owning underwriting predictive models and member risk features in a health insurance context, collaborating with ML engineers to deploy models at scale and monitor prediction lifecycle outcomes.
Data Scientist Senior
Senior Data Scientist applying AI and machine learning to manufacturing operations, building MLOps pipelines, developing ML models and data visualizations, and integrating AI capabilities into existing products.
Data Scientist
Build and run marketing models (Bayesian Mix, Attribution) to optimize spend and measure uplift for an online therapy platform.
Data Scientist (Card Data & Analytics Strategy)-Executive Director
Lead AI/ML strategy and analytics for JPMorgan Chase’s Card business, translating business needs into data-driven solutions and mentoring a high-performing analytics team.
Sr. Data Scientist, Predictive Modeling
Lead AI/ML model development for IHG’s Holiday Inn Club Vacations, building predictive and prescriptive systems to optimize conversion, engagement, and activation using Python, SQL, and cloud platforms.
Sr. Data Scientist, Predictive Modeling
Lead AI/ML model development for IHG’s Holiday Inn Club Vacations, building predictive and prescriptive models to optimize conversion, engagement, and activation using Python, SQL, and cloud platforms.
Senior Revenue Management Data Scientist
Build pricing and revenue models to optimize margins, automate quote analytics, and guide sales decisions using ML and statistical techniques for industrial products.
Senior Quality Analytics & Data Science Analyst (on-site)
Senior analyst builds healthcare quality dashboards and runs statistical analyses to spot patient-safety risks and guide hospital process improvements using SQL, Power BI, and Python.
Senior Quality Analytics & Data Science Analyst (on-site)
Senior analyst builds healthcare quality dashboards and runs advanced stats to spot patient-safety risks, regulatory gaps, and cost-saving opportunities using SQL, Power BI, and Python.
Sr. Data Scientist, Predictive Modeling
Lead the design, development, and deployment of predictive and prescriptive AI/ML models to drive business outcomes like conversion and engagement for a hospitality partnership.
Data Scientist - Hybrid
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.