Top Remote Senior Level Data & Analytics Jobs in Minneapolis, MN

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

In this role, the Senior Manager of Data Engineering will lead and expand a team of engineers, design data strategy and architecture, and collaborate with technical leaders to enhance data infrastructure and support business growth.

As a Senior Data Scientist for JD Power, you'll lead complex data science projects, focusing on feature engineering and model building. You will leverage advanced AI/ML techniques and tools like SQL, Python, and AWS SageMaker to extract insights and impact products in the automotive industry. Your role will also involve collaborating with teams to develop analytics for new products and creating visual reports for clients.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.