Data Science Jobs in United States
There are 4,554 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 | $154,450 | $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 72%
- machine-learning 65%
- python 64%
- analytics 58%
- ai 55%
- sql 51%
- statistics 46%
- cloud 31%
How the work is done
- Remote 722 · 16%
- Hybrid 639 · 14%
- Onsite 238 · 5%
Visa sponsorship offered in 45% of the 898 postings that state a position on it.
Seniority
- Senior 1,262
- Lead 270
- Staff 262
- Principal 246
- Intern 119
- Middle 84
Who is hiring
- 1000+ employees 1,156
- 501-1000 employees 333
- 51-200 employees 88
- 11-50 employees 47
- 201-500 employees 15
- 1-10 employees 3
Contractor Support to Data Science & AI: Senior Software Developer
Develop and deploy secure AI systems for sensitive data in a NATO-aligned environment using Python, C++, or Java, TensorFlow/PyTorch, AWS/Azure, and Kubernetes.
Director, Analytics and Data Science
Lead analytics and data science teams to drive insights and decisions for an education-focused organization, leveraging data to enhance global learning programs.
Data Scientist, GenAI Strategy and Operations, DeepMind (Fixed-Term Contract)
Data scientist at DeepMind designing and operationalizing GenAI strategy, analyzing product impact, and building analytics pipelines with Python, R, and SQL.
Data Scientist, Credit Risk Analytics
Build and deploy ML models for credit and fraud risk in a fintech lending platform, analyze portfolio performance, and shape risk strategy using Python, SQL, and ML ops.
Senior Data Scientist and Modeler
Builds custom media-measurement products by merging Nielsen’s TV, streaming, audio, and digital datasets, then designs statistical and ML models to answer novel client questions using Python, PySpark, and AI tools.
Data Scientist
Build predictive models and analyze structured/unstructured data to solve public-sector challenges using ML/AI and visualization tools.
Data Scientist
Build and maintain Tableau dashboards, Databricks pipelines, and AI-enabled data models that inform enterprise decisions on contracts, staffing, and risk.
Data Scientist
Data Scientist analyzing DoD data with SQL, Python/R, and ML to build predictive models and visualizations for mission-critical decisions.
Data Scientist
Build and deploy ML models and ETL pipelines to turn raw data into actionable insights for government clients, using Python, R, SQL, and visualization tools.
Senior Mission Data Scientist
Senior data scientist building predictive models and analytics for federal health organizations using Python, ML, and data pipelines to turn complex datasets into actionable insights.
Data Scientist
A Data Scientist at Booz Allen extracts insights from structured/unstructured data using statistical methods, ML, and predictive analytics to support government/mission-critical projects. Focuses on modeling, visualization, and advising clients on data-driven decisions.
Data Scientist
Build and deploy AI/ML models to extract insights from structured and unstructured data for government clients, using Python, TensorFlow, and cloud platforms like AWS or Azure.
Data Scientist
Build and tune ML models (LLMs, CV) to turn complex data into actionable insights for special operations intelligence, using Python, TensorFlow, and PyTorch.
Data Scientist
Build and deploy ML models to extract insights from structured and unstructured data for government clients, using Python/R and cloud tools.
Data Scientist
Build and maintain data pipelines, extract insights from structured/unstructured data, and develop ML models to support cybersecurity and defense initiatives for the DoD.
Data Scientist with Security Clearance
Build ML/AI models and predictive analytics to optimize logistics and sustainment operations for a defense-focused environment.