Hiring: Staff Data Scientist Company: TransUnion Location: Chicago, IL Job Posted Time: 2026-09-10 12:07:41 Employment Type: Hybrid Target Skills & Keywords : LLM, MLOps, Machine Learning, Python, R, SQL About the job Experience: •5+ years of demonstrated success directly supporting internal or external clients and 6+ years of professional experience performing analytic work, preferably in industries served by TransUnion. These experiences may or may not overlap. Required Skills: •Analytics & AI Consulting Delivery - Lead complex analytic and AI-enabled consulting engagements from opportunity shaping through solution design, model development, evaluation, deployment readiness, and ongoing monitoring. Translate client needs into practical, scalable solutions that deliver measurable business value. •Client & Commercial Impact - Own analytic consulting responsibilities for assigned clients, identify strategies and opportunities to test and adopt TransUnion analytic products and services, and partner with Sales, Product, Technology, and vertical support teams to shape differentiated, data-driven recommendations. •Insight Communication - Deliver analytic insights, model considerations, risks, and recommendations in concise and compelling presentations for internal and external stakeholders across a range of technical and business backgrounds. •Peer Leadership & Team Development - Mentor, coach, and train junior colleagues and peers by sharing expertise, clarifying expectations, providing candid and constructive feedback, recognizing strong contributions, and helping foster an inclusive, high-performance culture. •Demonstrated capacity to travel 10-20% of the time. •5+ years of demonstrated success directly supporting internal or external clients and 6+ years of professional experience performing analytic work, preferably in industries served by TransUnion. These experiences may or may not overlap. •Advanced programming, data engineering, and applied AI/ML skills, including proficiency with Python and/or R, SQL, cloud-based analytics environments, distributed data platforms, and modern machine learning frameworks. •Demonstrated ability to lead complex analytic and AI-enabled solution engagements under limited supervision, including solution design, model development, validation, stakeholder alignment, and delivery coordination. Qualifications: •Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field; or a Bachelor’s degree in a quantitative field. Compensation: •: Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!