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 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.

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.

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.

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.

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 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.

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.

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

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 Data Scientist, you'll develop analytic solutions, lead client engagements, create predictive models, and deliver insights for TransUnion's clients. You'll also work with cross-functional teams and clients, enhancing business initiatives in various industries.

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

The Staff Data Scientist will lead data science projects, build ML models, develop AI solutions, and mentor junior staff while integrating data-driven insights into business operations.

In this role, the Data Scientist will create and enhance statistical models and machine learning techniques for actuarial processes, collaborating with business partners to translate model results and drive business value.

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.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

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.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.