Top Data Science Jobs in Minneapolis, MN

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Data Scientist 2 will design and deploy machine learning solutions, drive model lifecycles, ensure compliance, and communicate insights. Requires extensive experience in healthcare data, modeling, and cross-functional collaboration.

The Senior Data Scientist will leverage AI/ML for predictive modeling, uncover insights from data, and lead collaborative initiatives. They will optimize models and implement solutions across various domains.

The Principal Data Scientist will lead projects focusing on data-driven solutions, develop machine learning models, and collaborate with stakeholders to optimize business outcomes.

The Principal Data Scientist will lead the development of AI/ML systems in healthcare, addressing complex challenges and mentoring junior data scientists. Responsibilities include designing scalable solutions, developing Generative AI applications, and ensuring responsible AI practices.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.

The Principal Data Scientist will lead empirical analyses to inform clinical operations, identify new programs, and optimize business strategies through end-to-end analytics pipeline management and effective communication with stakeholders.

Lead the design and development of scalable data platforms, ensure performance and reliability, mentor engineers, and drive data governance and quality practices.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Science Specialist will apply machine learning and statistical modeling in R&D, collaborating with scientists on experiments and product developments, teaching statistical principles, and contributing to strategy and measurement practices.

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

The Data Scientist Manager will lead data analysis and modeling, manage data sets, execute marketing campaigns, and provide analytic solutions to business problems.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

The role involves leveraging advanced analytics and machine learning to assess and mitigate credit and fraud risks, developing scalable modeling solutions while collaborating with stakeholders.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Lead development of analytical pipelines and statistical models using R and Python for clinical data processing and reporting. Mentor peers and ensure compliance with regulatory standards.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

As a Business Intelligence Data Scientist, you will develop dashboards, build statistical models, and analyze product features to enhance user insights.

Analyze ACH transaction data to enhance payment decisioning performance. Identify trends, evaluate data impact, and optimize risk strategies using Python and SQL in a fintech environment.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.