Data Science Jobs in United States
There are 4,515 open Data Science jobs in United States on freehire right now. 1,077 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 | $152,000 | $182,500 | $215,050 | 929 |
| 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 50%
- statistics 46%
- cloud 30%
How the work is done
- Remote 714 · 16%
- Hybrid 632 · 14%
- Onsite 239 · 5%
Visa sponsorship offered in 45% of the 904 postings that state a position on it.
Seniority
- Senior 1,282
- Staff 266
- Lead 263
- Principal 241
- Intern 106
- Middle 101
Who is hiring
- 1000+ employees 1,175
- 501-1000 employees 333
- 51-200 employees 89
- 11-50 employees 47
- 201-500 employees 16
- 1-10 employees 3
Data Scientist
Develops AI/ML models and data solutions to analyze complex datasets for government/public-sector clients, focusing on fraud detection, intelligence, and research applications.
Data Scientist
Develops AI/ML models and analytics solutions for government security missions, applying advanced statistical and mathematical techniques to solve complex problems using Python, PyTorch, and TensorFlow.
AI and Machine Learning Engineer and Data Scientist
Lead algorithm development and analyze complex datasets for clients in sectors like national intelligence using machine learning, NLP, and statistical analysis.
Data Scientist
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
Advisor, Data Scientist - CMC Data Products
Build AI-ready data products for pharmaceutical CMC workflows, integrating lab instruments and regulatory data to power predictive models and compliance frameworks.
Senior Data Scientist
Senior Data Scientist designing and implementing ML solutions for anomaly detection, root cause analysis, and predictive models on terabytes of streaming datacenter network data using Python, Golang, and big data tools like Spark and Flink.
Data Scientist - Cohort Modeling
The Data Scientist will build and implement predictive cohort models to support underwriting and marketing functions at Chubb. The role involves data extraction, statistical analysis, and cross-functional collaboration using tools like Python, R, and SQL.
Senior Staff Data Scientist
Design and deploy Python-based thermal models and Edge-native apps that analyze power-plant performance in real time, integrating historian data and cloud systems.
Lead Data Scientist
Lead Data Scientist designing and modeling analytical architectures, building SQL-based data structures, and guiding BI platform selection for US Government data analytics programs at a government IT contractor.
Staff Data Scientist
Lead complex AI/ML and analytics consulting engagements for TransUnion's Financial Services Consulting team in a hybrid Chicago role, using Python/R, SQL, cloud platforms, and modern ML frameworks to deliver data-driven solutions to clients.
Data Scientist - Mid
Designs and implements data management systems for intelligence needs, performing analytics, predictive modeling, and statistical analysis to support decision-making in government missions.
Senior Data Scientist
Senior Data Scientist leading ML model development and deployment in a distributed data system to maximize weapon system operational effectiveness for Boeing Defense, Space & Security.
Data Scientist, Virtual Agents
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
Data Scientist Sr - Fraud Strategy & Portfolio Analytics
Designs and implements fraud-detection models using SQL, Python, and R to analyze banking transaction data and recommend actions that reduce financial losses.