Top Data Science Jobs in Minneapolis, MN

The Advisor, Product Manager - AI & Data Science oversees conversational and automation products, driving user research, analytics, and product development for effective global implementation.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

Lead product marketing efforts for Domino's Data Science platform. Develop messaging, drive go-to-market strategies, and create thought leadership content while engaging with data science executives.

The Senior AI Product Manager will lead the development and launch of AI/ML features, collaborating with engineering and sales teams to deliver impactful products and achieve business goals.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

Lead data science and AI initiatives, drive operational excellence, build teams, and translate data insights into business strategy for growth.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Principal Product Manager will lead endpoint product initiatives, define strategy and roadmap, and collaborate with teams to enhance detection technologies.

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

The Lead Product Manager will strategize and oversee the Managed Billing offering, focusing on feature development, customer engagement, and operational efficiency in insurance processing.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

The Senior Actuarial Assistant analyzes data using actuarial techniques, collaborates on product strategies, and communicates insights to inform business decisions.

This role involves leading a technical support team, managing incident processes, collaborating cross-functionally, and driving operational improvements in healthcare tech.

The role involves engaging in data science and machine learning initiatives, building predictive models, analyzing large datasets, and collaborating on innovative solutions for clients.

As a Cloud Engineering Data & Analytics Associate, you will engage in data analysis to drive insights for clients, utilizing advanced data analytics tools and techniques. Responsibilities include data manipulation, algorithm development, and delivering data-driven solutions to enhance business decision-making.

The Enterprise Account Executive drives the entire sales cycle, focusing on engaging enterprise customers in various sectors to leverage Dataiku's AI platform, ensuring customer satisfaction and collaboration across departments.

The Principal Product Manager will oversee product backlogs, define requirements, and lead product development, while building stakeholder relationships and driving market innovations.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

The Mid-Level Supplier Quality Engineer will ensure compliance with quality management systems, conduct assessments, and support supplier selection while analyzing non-conformance trends and recommending corrective actions.

As a Data Scientist, you'll build data pipelines, develop deep learning models for complex audio, and collaborate with teams to enhance voice AI systems.

The role involves managing operational practices within the Data Science team at Sprout Social, refining workflows, and ensuring alignment with stakeholders.

The role involves conducting research and developing new technologies, managing projects, documenting findings, and communicating results effectively.

The AI Architect will lead AI strategy and implementation, define AI architecture, manage risks, and ensure compliance across the organization.