Top Data Science Jobs in Chicago, IL
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
Lead Data Scientist role at John Deere in Chicago, IL, responsible for driving eCommerce growth and enhancing the digital customer experience through data science projects. Lead and execute projects, mentor junior talent, lead code reviews, and collaborate with global teams. Requires 8 years of analytics experience, proficiency in Python, SQL, and advanced data science techniques.
The IT Business Analysis, Sr Specialist is responsible for formulating and defining system scope and objectives based on user needs and business requirements. They lead project teams, collaborate with stakeholders, and develop strategies for project deliverables. The position requires a solid understanding of the insurance industry, business operations, and system development life cycle. This is a hybrid position located in Chicago, IL.
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The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.
Partner with the Cash App Health organization to analyze large datasets, surface actionable insights, and drive meaningful change to protect customers and their money. Conduct statistical modeling, design A/B experiments, and build metrics for strategy. Communicate findings with cross-functional teams and create data visualizations for partners.
Manager, Data Science role in a leading industrial distributor, focusing on developing and deploying statistical and machine learning models to improve business operations. Hybrid position based in Lake Forest, IL or Chicago, IL.
The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.
Lead the development of Large Language Models for Enterprise Language Generation to power AI experiences on the NOW platform. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, and influence leadership on AI strategies and trends.
Senior Data Scientist role focusing on marketing analytics and optimization for a SaaS company. Responsibilities include evaluating and improving marketing measurement, developing quantitative models, analyzing customer behavior data, and collaborating with cross-functional teams. Requires a Bachelor's degree in a quantitative discipline and 5+ years of experience using analytics for business decisions.
Join Square as a Senior Data Scientist in the Fraud Risk team to identify and prevent fraud and credit risks. Lead experiments to enhance risk effectiveness and partner with various teams to influence Square's global Risk roadmap. Develop data pipelines, ETL processes, and risk detection strategies to impact Square's priorities and Banking initiatives.
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