Top Data Science Jobs in Minneapolis, MN

The Data Integration Specialist will be responsible for overseeing donor database administration, processing donations, providing technical leadership in fundraising systems, and collaborating with various departments to ensure accurate data management and acknowledgement of contributions.

The Senior Health Data Analyst provides analytical reports and consultation to stakeholders regarding pharmacy benefits. They develop methodologies and products to align with strategic goals, lead complex analyses, and make recommendations for enhancements to benefit performance.

As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, utilizing machine learning and predictive analytics. You'll collaborate with business stakeholders to leverage data science for decision-making, optimize models for predictive accuracy, and communicate complex concepts to non-technical audiences.

The Senior Scientist, QC will independently execute and document cGMP Quality Control testing, operate analytical equipment, author technical documents, and ensure data accuracy. The role involves coordinating activities, supporting continuous improvement, and training in analytical techniques.

The Senior Applied AI Researcher will conduct applied AI research to improve M&A processes by developing AI models, collaborating with cross-functional teams, and prototyping AI solutions. This role focuses on enhancing efficiency in document review and organization while ensuring customer trust and product innovation.

The Environmental Data Management Specialist will manage complex environmental data projects, primarily using EQuIS and Microsoft Excel. Responsibilities include data entry, quality checking, producing reports and charts, and collaborating with team members to enhance analytical capabilities.

The Staff Data Scientist is responsible for analyzing real-world data to generate insights and develop machine learning models for Abbott Diabetes Care. The role involves working with large datasets, conducting advanced statistical analyses, and collaborating with various teams to drive product development. The position also includes educating team members and contributing to departmental processes.