Top Data Science Jobs in Chicago, IL

The Data Scientist Intern will analyze large datasets to extract business insights and optimize tools using various modeling tools and machine learning algorithms, presenting findings to leadership at the internship's conclusion.

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.

The role involves developing analytic solutions for credit risk management in financial services, requiring collaboration, data analysis, and mentorship of junior staff.

The role involves managing and coaching data scientists, driving analytics strategies, and leading technical engagements to advance business objectives through innovative data science techniques.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

The role involves leading data science strategies for fraud modeling, collaborating with cross-functional teams, and developing machine learning models for business applications.

As a Data Scientist, you'll analyze data to deliver innovative solutions at Capital One, leveraging technologies like Generative AI, while collaborating with cross-functional teams to tackle complex problems and build machine learning models.

Lead the design of experiments and build predictive models for product development in R&D, leveraging statistical methods and advanced data applications.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Data Scientist Intern will analyze large datasets, optimize processes, and develop models and algorithms to support decision-making within the organization.

The Senior Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

As a Data Scientist, you'll analyze business challenges, design ML models, communicate actionable insights, and collaborate with ML Engineers on production systems.

The Data Scientist will analyze data, develop algorithms, and utilize predictive modeling and machine learning to drive business decisions and insights.

As Associate Director of Real World Data Science, you will design and execute observational studies, collaborate with various departments, and mentor team members.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

The Supply Chain Data Scientist will analyze complex datasets, develop statistical models, and enhance supply chain forecasting to drive efficiencies.

The Applied Data Scientist will own the modeling lifecycle, ensuring data quality, investigating discrepancies, and collaborating cross-functionally to enhance data systems and processes.

The Data Scientist will develop and deploy AI/ML models, support decision-making, and enhance operational efficiency through data-driven insights.

As a Data Scientist at Jerry, you will drive data-driven decisions, partner with teams, execute A/B experiments, and optimize user acquisition.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.