Top Data & Analytics Jobs in Chicago, IL

As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.

The Senior Analyst, Sales Strategy & Compensation will lead the development and implementation of U.S. sales incentive plans, manage the sales planning process, prepare commission statements, provide management decision support, develop presentations for management, and collaborate cross-functionally on ad hoc projects.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The Regional Supply Chain Analyst supports global supply chain functions by establishing and standardizing processes and tools, engaging in continuous improvement, and coordinating regional compliance activities. The role includes analyzing departmental performance and risks, training on processes, and collaborating on strategic business plans.

The Reinsurance Analyst will support the reinsurance placement process through data analysis, research, and documentation. Responsibilities include learning reinsurance agreements, assisting with client services, and developing accounting and claims administration skills. The role involves collaboration with various teams and stakeholders, ensuring compliance with best practices, and participating in a comprehensive training program to gain industry knowledge.

This is a speculative job application for candidates who want to work at Hugging Face. The company emphasizes diversity, well-being, and continuous development, and encourages applicants to brainstorm their potential roles based on personal strengths and interests.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.