Data Science Jobs in United States
There are 4,461 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 | $152,250 | $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 701 · 16%
- Hybrid 620 · 14%
- Onsite 243 · 5%
Visa sponsorship offered in 46% of the 900 postings that state a position on it.
Seniority
- Senior 1,273
- 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
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.
Data Scientist
Starbucks is seeking a Data Scientist to join their Data & Analytics team. The role involves using statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency.
Data Analyst II/Data Scientist II
Analyze intrusion alarm and threat data, build anomaly reporting tools, and develop IT-based data integration products while coordinating with government interagency groups and supporting risk assessments.
Senior/Lead Data Scientist
The Senior/Lead Data Scientist will drive data-informed decisions by leading machine learning and analytics projects to optimize store operations, pricing, and customer experience. The role involves building predictive models, mentoring team members, and guiding data strategy across the business.
Associate, Client Intelligence (Data Scientist)
The Associate Data Scientist will build, test, and deploy analytical models to calculate customer value and wallet sizing. They will perform exploratory analysis, generate business recommendations, and maintain model documentation while collaborating with stakeholders.
Data Scientist
Data Scientist building machine learning models and analyzing large datasets to drive decisions for government consulting clients, using Python ML libraries and visualization tools.
Senior Consultant, Data Science & Strategy
Leads data-driven strategy for private equity clients, blending analytics and business insight to identify growth opportunities and shape high-impact decisions using Python, R, and SQL.
VP of Data Science
VP of Data Science owning the methodology behind Attain's ad-tech measurement products—causal inference, attribution, media mix modeling—defending those methods to clients and partners while leading a team of data scientists.