Top Hybrid Data Science Jobs in Chicago, IL

Lead Data Scientist responsible for applying innovative data science techniques to advance business objectives and transform priority opportunities into incremental business value. Collaborate with business partners to design, develop, and deploy advanced analytics solutions using statistical and machine learning methods. Direct activities of data scientists and ensure quality and consistency of solutions. Minimum qualifications include a Master's degree in data science or related field and 5+ years of relevant work experience.

This position is for a financial credit analyst supporting credit processes within North America Credit Team at Motorola Solutions. Responsibilities include collaborating with various teams and customers to support order release, billing, project reconciliations, and timely cash collections. The role also involves forecasting cash flow, maintaining project credit workbooks, reconciling customer accounts, and reviewing orders and projects for billing. Additional skills required include problem-solving, accounting knowledge, independence with meeting deadlines, attention to detail, communication skills, teamwork, and proficiency in Excel and Google tools.

Principal Data Science role within Consumer Credit Review department at a leading digital banking company. Responsibilities include providing analytics to support ongoing credit reviews, leveraging techniques like segmentation, optimization, and machine learning. Thought leadership to solve business problems, development of advanced analytics, and delivery of effective presentations and reports.