Top Data Science Jobs in Chicago, IL

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 Data Scientist will develop analytic solutions for financial services, using statistical methodologies on large datasets and collaborating with clients to drive business initiatives.

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.

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.

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 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.

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

The Data Scientist will develop credit risk models, collaborate with teams, analyze data, and present recommendations to management.

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

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

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.

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

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

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 analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

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

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.

The Applied Data Scientist will own the data quality and modeling lifecycle, transforming complex datasets, collaborating with cross-functional teams, and maintaining documentation of data processes.

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist leads advanced analytics and AI/ML model development, focusing on statistical modeling, market share analysis, and strategic analytics while mentoring juniors and ensuring responsible AI practices.