Top Data Science Jobs in Chicago, IL

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

This role involves developing analytic solutions and predictive models for TransUnion's clients, managing client engagements, and conducting complex data analysis.

This role involves developing analytic solutions through consulting for clients, leading projects, and delivering insights using statistical analysis on large datasets.

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/Technical Analyst, you will develop predictive models, evaluate technologies, provide digital support, and communicate with stakeholders.

The role involves developing analytic solutions for credit risk management and business intelligence in the financial services sector, while mentoring juniors and collaborating with teams.

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

Join the Data Scientist Co-op at Motorola Solutions to apply data science techniques to business challenges, gaining hands-on experience in a supportive environment.

The Data Scientist will analyze complex datasets, develop predictive models, create visualizations, and collaborate across teams to drive data-informed decisions.

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.

Perform analytical modeling on large data sets to support service growth and downtime prevention, utilizing machine learning and advanced statistical techniques.

The intern will analyze large datasets to extract actionable insights, optimize tools and processes, and present findings to leadership.

The role involves analyzing products, designing experiments to measure impacts, and enhancing data infrastructure for better decision-making in product development.

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Data Scientist, you'll apply machine learning and statistical modeling to solve business challenges, enhance customer experiences, and support initiatives through data-driven insights and predictive models.

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 partner with a cross-functional team to identify model risks, build machine learning models, and contribute to model governance in loss forecasting.

As a Senior Data Scientist, you'll collaborate with teams to develop machine learning models, leveraging large datasets to generate insights and drive innovation in employee experience.

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.

As a Data Scientist at Capital One, you will develop machine learning models, analyze data, collaborate with teams, and influence business strategies.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

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.