Top Data Science Jobs in Chicago, IL

The Manager, Data Science will lead a team to deliver business insights through data science techniques. They will oversee model development and deployment, influence company strategies, and maintain proficiency with business data systems while fostering collaboration with marketing, merchandising, and key decision makers.

The Data Science Manager will lead the development lifecycle of AI/ML products, architect data solutions, engage with clients, and publish industry insights while managing a team of scientists and engineers. Responsibilities include tackling complex business problems, training new talent, and contributing to ZS firm strategies in AI.

The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.

As a Senior Data Scientist at Caterpillar, you will lead analytics projects, utilizing machine learning and statistical modeling to derive insights and optimize business processes. Responsibilities include data cleaning, mentorship of junior data scientists, and developing advanced algorithms to enhance troubleshooting processes for customers.

The Data Analytics Senior Consultant will create automated scorecards and scenario analysis tools for underwriting strategies. They will leverage analytical and technical skills to drive significant business impact, collaborate with senior underwriting leadership, and utilize various data sources to provide insights for decision-making. The role involves managing multiple projects and providing guidance to less experienced colleagues in a dynamic environment.

As a Data Scientist II, you will develop and enhance predictive machine learning models to optimize delivery estimation, dispatching, and driver pay. Collaborate with cross-functional teams to align ML solutions with business goals while contributing to MLOps excellence and continuously improving key metrics for fulfillment efficiency.

The Scientist, Global Disruptive Innovation R&D - Packaging Development will innovate and validate food packaging solutions, collaborating with cross-functional teams and leading multiple projects. Responsibilities include prototyping, managing timelines, ensuring compliance with regulations, and integrating consumer insights for product launch success.