Top Remote Data Science Jobs in Chicago, IL

The Advanced Analytics and Data Science Platforms Manager at Mondelēz International is responsible for overseeing platform-related activities, multi-cloud integration strategies, and efficient administration of analytics and data science platforms. The role involves collaborating with cross-functional teams, managing user access, resource allocation, performance optimization, security and compliance, integrations, troubleshooting, upgrades, documentation, and training.

The Geospatial Data Scientist Expert at Arity will be responsible for working with large geospatial datasets, building spatial and machine learning models, and identifying business opportunities for geospatial data science. They will also collaborate with cross-functional teams to develop solutions and enhance Arity's products in the transportation industry.

Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate 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.

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.