Top Data Science Jobs in Chicago, IL

Senior Consultant role at TransUnion's Marketing Solutions division, focusing on developing analytical and scoring solutions for marketing, risk, and fraud. Responsible for translating client requests into analytical questions, creating custom segmentation and scoring solutions, designing data models, analyzing data assets, and collaborating with product management and data engineering teams.

Lead Data Science Analyst responsible for developing and implementing advanced analytics, collaborating with cross-functional partners, managing performance tracking, and automating reports. Requires a Bachelor's Degree in Analytics, Engineering, or Statistics, and 4+ years of experience in related fields.

Delivering excellence at the intersection of data science, research, and business domain expertise in a 10-week summer internship program focused on creating innovative solutions using Python, SQL, machine learning, and big data technologies for JPMorgan Chase. Candidates must be pursuing a Bachelor's or 1-Year Master's Degree in STEM fields and have knowledge of coding languages.

Lead a growing team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategy, implement AI use cases, solicit requirements, build models, and teach business teams.

Lead innovative and disruptive ingredient technology platforms to create competitive advantage across the global Kraft Heinz portfolio. Manage technical platforms, identify and lead ingredient technology development initiatives, conduct trials, and commercialize technologies. Strong technical background in food science and ingredient interactions with focus on sweeteners, flavor, and taste.

Develop, enhance and test models for lending criteria and verification procedures. Conduct ad hoc analysis for risk management, marketing, and operational strategies. Interpret and organize data to solve business problems.

Passionate about precision medicine and advancing healthcare by analyzing RNA data, interpreting scientific literature, and reviewing clinical documentation to provide insights to physicians. Collaborate with multidisciplinary teams to analyze and complete clinical cases.