Top Data Science Jobs in Minneapolis, MN

Lead and develop a high-performing data science team, drive analytics and modeling projects, and shape the data strategy at Render.

The Client Success Manager focuses on enhancing the client experience and executing revenue growth plans through effective engagement and collaboration with internal teams.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Director of Client Services will manage a cross-functional team to deliver Enterra's solutions, ensuring client success and value delivery.

Lead and develop a team of Solutions Architects for healthcare and life sciences, driving customer success and navigating complex enterprise sales deals.

Lead technical sales globally for AI solutions, collaborate with teams, translate business needs into tech implementations, engage with customers, and drive successful implementations.

Leading the AI/ML team, mentoring data scientists and engineers, developing production-grade systems for cybersecurity, collaborating on architecture, and driving best practices for AI development.

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

Lead and mentor the data science team, contribute to model development, and drive strategic data initiatives for marketing analytics.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

The Data Science Engineer will develop data models and pipelines, analyze data, and create solutions for internal and external stakeholders in a healthcare context.

The Senior Data Scientist will lead analyses and projects to drive strategic insights, mentor junior staff, and utilize AI tools for data-driven decisions.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead a data science team in developing machine learning models for credit risk management, driving business outcomes and team growth.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

The Director of Data Science leads analytics projects, turning complex data into actionable marketing strategies, and mentors junior staff. They oversee client analytics and measurement frameworks while ensuring high-quality standards across analytics initiatives.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Director of Data Science leads the team to build marketing measurement tools and data products while partnering closely with Engineering and Product teams. Responsibilities include managing technical execution, hiring talent, and establishing validation processes for data models.

Manage a team of data scientists and analysts designing ML solutions for risk assessment, enhancing operational readiness, and ensuring reliability of data sources.

Lead the Rentals Data Science team to drive insights across the rental transaction journey, mentor members, and shape data strategy.

As Manager of Data Science, you will lead a team creating statistical evaluations, guiding annotations, and developing metrics for agent performance in healthcare-related projects.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.