Data Science Jobs in United States
There are 4,458 open Data Science jobs in United States on freehire right now. 1,062 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 | $152,250 | $182,200 | $215,025 | 935 |
| 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 700 · 16%
- Hybrid 619 · 14%
- Onsite 239 · 5%
Visa sponsorship offered in 46% of the 900 postings that state a position on it.
Seniority
- Senior 1,270
- Staff 264
- Lead 260
- Principal 240
- Intern 100
- Middle 92
Who is hiring
- 1000+ employees 1,169
- 501-1000 employees 331
- 51-200 employees 88
- 11-50 employees 47
- 201-500 employees 16
- 1-10 employees 3
Data Scientist 4
Lead data science and AI/ML implementations for federal government projects, managing the full data lifecycle, delivering analytical products, and serving as the primary technical point of contact for clients using SQL, Python, and AI/LLM tools.
Senior Data Scientist
Senior Data Scientist supporting AFSOC at RAF Mildenhall, designing data pipelines, building ML models, and performing analytics using Python, R, Spark, Hadoop, and cloud platforms like Databricks and Snowflake.
Strategy Data Scientist - Compliance
Build and maintain compliance-focused data analytics solutions for a fintech company, using SQL, Python, and BI tools to automate risk monitoring and reporting.
Fraud Strategy Data Scientist
Build and refine fraud detection models and risk strategies for a fintech platform, using Python/SQL to analyze payment data and deploy AI-driven monitoring rules.
Staff Data Scientist (AI/ML)
Lead AI/ML initiatives, design and deploy scalable generative models and LLMs, and mentor teams to drive innovation in commercial operations software.
Junior Data Scientist - Supply Chain Advanced Analytics AI/ML
Junior Data Scientist on Adidas's supply chain advanced analytics team, building and testing analytical components, performing data exploration and quality investigations, and writing Python and SQL code to support production systems.
Applied Data Scientist and Visualization Specialist - Hardware Engineering Product Design
Applied Data Scientist on Apple's Hardware Engineering DataViz team, transforming complex engineering data into visualizations and actionable insights across Apple products using statistics, machine learning, and data analysis.
Senior/Lead Data Scientist
The Senior/Lead Data Scientist will build predictive and optimization models to enhance store operations, customer experience, and supply chain efficiency. The role involves leading end-to-end analytics projects and collaborating with cross-functional stakeholders to drive data-informed business decisions.
Senior Manager, Data Science
Lead a data science team at Starbucks building models and experiments to optimize store operations, personalization, supply chain, and customer experience across the global coffee and retail business.
Data Scientist
The Data Scientist will analyze complex datasets from retail, loyalty, and supply chain operations to build predictive models and dashboards that improve store performance and customer experience.
Senior Data Scientist
The Senior Data Scientist will build and deploy machine learning models to optimize Starbucks' global store performance, menu mix, loyalty engagement, and supply chain efficiency. The role involves partnering with business leaders to translate large-scale retail and mobile data into actionable insights.
Senior/Lead Data Scientist
Senior/Lead Data Scientist driving advanced analytics and machine learning projects to optimize store operations, personalize customer experiences, and support sustainability initiatives at Starbucks.
Senior/Lead Data Scientist
The Senior/Lead Data Scientist will lead machine learning and analytics projects to optimize Starbucks' global operations, supply chain, and customer experience. The role involves building production-ready models, developing experimentation frameworks, and mentoring junior team members.