Top Data Science Jobs in Chicago, IL

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

In this role, a Data Scientist will collaborate with various teams to implement AI-driven solutions, develop machine learning models, and drive business value through data insights.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

As a Data Scientist, you will validate credit risk models, prepare reports, assist analysts, monitor performance, and support automated model training processes. Strong programming and statistical analysis skills are essential.

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

As a Manager, Data Scientist, you'll lead a team to develop machine learning models for credit card customer acquisitions, collaborating across departments to ensure data-driven decision-making and effective model deployment.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

As a Field Data Scientist, you will collaborate with clients to define use cases, improve product architecture, develop data pipelines, and refine ML models while ensuring successful customer outcomes.

As a Principal Associate, Data Scientist, you will develop machine learning models and analytics to combat money laundering, collaborating with a cross-functional team and modernizing risk management practices.

The role involves leading data science initiatives, collaborating with cross-functional teams, and building machine learning models for customer insights.

As a Data Scientist, you will analyze data, build machine learning models, and collaborate with cross-functional teams to enhance customer offerings within the Discover Card portfolio.

Build and deploy predictive models and analytics to optimize lending decisions, design A/B tests, create automated dashboards, support model implementation and monitoring, and deliver actionable insights to cross-functional teams and senior management.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

The Data Scientist role involves developing analytic solutions, leading client engagements, designing predictive models, and delivering insights across industries served by TransUnion, particularly in financial services.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Develop and refine credit models, collaborate on new initiatives, conduct A/B testing, and communicate insights to management. Essential for improving lending decisions.

As a Manager, Data Scientist in Credit Review at Capital One, you will leverage technology to build statistical and machine learning models, translate complex data into business strategies, and lead a team focused on innovative decision-making in credit risk management.

As a Senior Associate Data Scientist, you'll leverage advanced machine learning techniques on cash flow data to forecast creditworthiness, collaborating with cross-functional teams and utilizing technologies like Python and AWS.

The role involves leveraging technology stack for data insights, building statistical models, translating complex data work into business goals, and collaborating with a cross-functional team.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.

As a Senior Data Scientist, you will design and evaluate AI systems including generative AI and LLMs, mentor junior scientists, and translate findings into production prototypes while collaborating with engineering teams.

The Lead Data Scientist will lead AI prototype development, manage data preparation, collaborate on production-ready models, and communicate complex findings to stakeholders.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Senior Data Scientist will develop analytic solutions for fraud prevention, lead analytic client engagements, and communicate strategies across various industries, predominantly in financial services.

The Staff Data Scientist will lead data science projects focused on fraud detection, analyze complex datasets, and mentor junior scientists while driving strategic initiatives.