Top Hybrid Data Science Jobs in Chicago, IL

As a Senior Data Scientist, you will use machine learning technologies to enhance customer management decisions, collaborate with cross-functional teams, and develop machine learning models from design to deployment, while simplifying processes for better user experience.

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.

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.

The Senior Applied Machine Learning Scientist will design and implement generative AI solutions using LLMs and data pipelines. They will collaborate with teams to ensure integration of ML models, solve production ML problems, and develop customer-focused experiences by enhancing product discovery. Responsibilities include building Agentic processes and maintaining robust models.