Top Data Science Jobs in Minneapolis, MN

The Engineering Director will lead the Data Integration and Platforms team, focusing on scaling and improving data integration systems with electronic health records. Responsibilities include building a skilled engineering team, establishing a technical vision, enhancing data governance, and preparing for AI/ML adoption. The role requires overseeing projects to ensure high-quality results and effective collaboration across the organization.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.

As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.

The Industry Solution Director is responsible for leading high-performing teams to deliver AI/ML applications, collaborating with stakeholders to identify business opportunities, and integrating domain expertise to inform product strategies. This role also involves direct customer engagement and project leadership, requiring strong problem-solving and communication skills.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.

In this role, you'll partner with Account Executives on pre-sales activities including opportunity qualification and demonstrations. Your expertise in solutions engineering will help design and present innovative customer data strategies while aligning to business goals. You will also build expertise in customer data platforms and engage closely with customers to influence their data architecture.