Top Senior Level Data & Analytics Jobs in Chicago, IL

The Data Scientist will collect domain context, define hypothesis and prediction tasks, conduct experiments with algorithms, develop models, automate training and predictions, identify insights, and communicate model outputs to stakeholders. Additionally, responsibilities include solving complex business issues, coaching teams, and advising stakeholders on technical issues.

Lead the data science function in the Devices Software Building Block team at Motorola Solutions by analyzing large volumes of data obtained from IoT devices to provide valuable insights for customers and internal teams.

Individual contributor responsible for managing and developing a complex book of business. Analyzes underwriting risks, determines pricing strategies, and maintains agency relationships. Recognized as a technical expert in underwriting specialty. Mentors less experienced underwriters and participates in special projects and presentations.

The Lead Analyst, Business Strategy and Insights will support strategic decision-making for senior leaders and Grubhub's Executive Leadership Team. Responsibilities include quantitative analyses, collaborating with analytical and business partners, and developing executive-level presentations and dashboards. The ideal candidate will have strong quantitative qualifications, data-driven insights, and communication skills.

Responsible for extracting, managing, and analyzing data within the company. Conduct research on business data and communicate findings to stakeholders. Set up processes and systems to work with data efficiently. Manage and escalate risk and customer-impacting issues to management.

Lead the Data Management Transformation for Mondelēz International, focusing on master data transformation for the US market. Collaborate with business units to define and execute master data strategies. Provide leadership on resourcing, budgeting, data governance, and stakeholder engagement. Requires 7+ years of data management experience with 3 years in a transformation leadership role.

Lead experimental research projects to optimize large language models, innovate on data curation strategies, publish impactful findings, and continuously refine AI models at ServiceNow's Foundation Models Lab.