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Top Remote Senior Level Data Science Jobs in Minneapolis, MN

129+ Job Results
22 Days Ago
Remote Minneapolis, MN
Remote
3,000 Employees
232K-330K Annually
Senior level
3,000 Employees
232K-330K Annually
Senior level
Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+87 More
23 Days Ago
Remote Minneapolis, MN
Remote
1,300 Employees
Senior level
1,300 Employees
Senior level
Artificial Intelligence • Healthtech • Telehealth
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+66 More
3 Hours Ago
Remote Minneapolis, MN
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.
3 Hours Ago
Remote Minneapolis, MN
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
3 Hours Ago
Remote Minneapolis, MN
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer - Data Scientist will perform data analysis on large datasets, develop and deploy optimization models, and communicate insights to stakeholders. They will work with engineering and product development teams to identify data sources and automate collection processes while engaging with business requirements.

Featured Jobs

14 Hours Ago
Remote Minneapolis, MN
Remote
89 Employees
Senior level
89 Employees
Senior level
Other
The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.
Top Benefits:
Remote Work Program
20 Hours Ago
Remote Minneapolis, MN
Remote
5,000 Employees
Senior level
5,000 Employees
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.
Yesterday
Remote Minneapolis, MN
Remote
1,340 Employees
109K-199K Annually
Senior level
1,340 Employees
109K-199K Annually
Senior level
Retail • Sports • Wearables
The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.
Top Benefits:
401-K Matching
Child Care Benefits
Commuter Benefits
+47 More
2 Days Ago
Remote Minneapolis, MN
Remote
40,741 Employees
105K-144K Annually
Senior level
40,741 Employees
105K-144K Annually
Senior level
Healthtech
The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.
Top Benefits:
401-K
Adoption Assistance
Company Outings
+19 More
2 Days Ago
Remote Minneapolis, MN
Remote
54 Employees
Senior level
54 Employees
Senior level
Software
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
2 Days Ago
Remote Minneapolis, MN
Remote
181 Employees
140K-150K Annually
Senior level
181 Employees
140K-150K Annually
Senior level
eCommerce • Insurance • Software
The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.
2 Days Ago
Remote Minneapolis, MN
Remote
504 Employees
134K-191K Annually
Senior level
504 Employees
134K-191K Annually
Senior level
News + Entertainment
The Senior Data Scientist at Tubi will advance the company's experimentation platform by planning and executing experimentation strategies, enhancing statistical rigor, and providing insights to inform data-driven decisions. Responsibilities include designing tests, analyzing results, and collaborating with teams to measure the impact of initiatives.
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