Top Data Science Jobs in Chicago, IL

The Senior/Staff Data Scientist will build and deploy predictive models for consumer decisioning and business optimization, focusing on machine learning and statistical modeling. Responsibilities include model development lifecycle, data exploration, collaboration with teams, and improving product outcomes.

Build and validate predictive lending models, analyze consumer risk and portfolio impact, implement and monitor models with engineering, develop tooling and automated SQL/Python dashboards, design A/B tests, and communicate actionable insights to senior management.

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.

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

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.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Analyze large CAT datasets to identify and resolve data quality gaps, build data models, apply ML and NLP techniques, create visualizations to communicate insights, and research algorithm and model optimizations to improve analysis accuracy and effectiveness.

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 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.

The Associate Data Scientist will develop machine learning models, automate decision-making, and support AI solutions across various operations at UL Solutions, collaborating with multiple teams throughout the project lifecycle.

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

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.

Validate and test credit risk models, prepare validation reports and documentation, support model releases and monitoring, automate model training, perform ad-hoc statistical analyses, and communicate findings to stakeholders to support risk management and production deployment.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

The Data Scientist will advance baseball analytics by developing machine learning models, innovating analytical approaches, and extracting actionable insights from complex data.

As a Staff Data Scientist, you will lead the Platform Data team in building a scalable data platform, collaborate on architecture and solutions, mentor team members, and drive improvements in technology and methodologies.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Embedded on a core business team, the Associate Data Scientist defines problems, builds metrics/reports, runs analyses and experiments, surfaces insights, and drives data-informed recommendations end-to-end to impact growth, product, AI/automation, or partnerships.

Embed with a core business area to define right problems, build metrics, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve product, growth, AI, or partnerships.

Embedded within a business unit, the Data Scientist defines the right problems, builds metrics, analyses, reports, and experiments, and delivers data-driven recommendations and end-to-end execution to improve product, growth, AI/automation, or partnerships.