Data Scientist jobs in Chicago, IL

Design and develop AI-powered automation solutions and knowledge management systems for enterprise workflows. Drive innovation in advanced AI fields such as neuro-symbolic AI, causal AI, and agentic systems while collaborating with engineering teams to transition research into production.

You will partner with cross-functional teams to develop predictive models and business intelligence solutions for financial services clients. You will also lead analytic client engagements, taking ownership of projects from design and development to presentation and implementation.

Partner with R&D scientists to structure and answer critical analytical questions for the early discovery pipeline. Develop and implement innovative technology solutions for data capture, integration, and visualization of large scientific datasets.

You will analyze fraud model performance and identify emerging fraud patterns to optimize decision strategies. You will also collaborate with engineering and risk operations teams to prototype new features and evaluate the effectiveness of fraud prevention tools.

The Data Scientist will develop and refine proprietary credit risk models to manage customer portfolios and drive growth. They will also design A/B testing frameworks and communicate data-driven insights to senior management to support product development strategies.

The role involves developing and implementing data-driven solutions using LLMs and AI to address business challenges within Global Affairs. You will work with cross-functional teams to translate business needs into actionable analyses and provide strategic recommendations to senior leadership.

Lead the development and validation of digital twins to simulate patient trajectories and clinical trial outcomes. Partner with multidisciplinary teams to translate clinical development questions into quantitative strategies that inform protocol design and decision-making.

The Data Scientist will partner with pharmaceutical collaborators to execute observational research plans and derive complex real-world endpoints using advanced statistical methods. They will also leverage AI and LLM tools to accelerate code development and communicate analytical insights to both technical and non-technical stakeholders.

The Associate Data Scientist develops prescriptive and predictive analytics initiatives to optimize supply chain performance and solve complex client problems. They also collaborate cross-functionally to design scalable analytics frameworks and act as a trusted advisor on AI and machine learning technologies.

This role supports research and discovery teams by building visualizations, transforming data, and capturing data to optimize research efficiency. The associate will work cross-functionally with scientists and technology stakeholders to integrate complex multi-platform data and provide decision support tools.

The role involves designing and delivering causal inference and predictive modeling workstreams to analyze health program impacts and cost-of-care. You will collaborate with cross-functional teams to deploy scalable models into production while ensuring methodological rigor and clear communication of results to stakeholders.