Top Hybrid Data Science Jobs in Chicago, IL

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 Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

As a Principal Associate in Data Science, you'll develop modeling approaches, collaborate on cross-functional teams, and apply explainability techniques to improve credit decisioning at Capital One.

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

The Advanced Data Science Manager leads a team of data scientists, develops data science strategies, manages client projects, and drives business development while providing thought leadership and mentoring.

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.

The Associate, Data Science will develop customer lifecycle models, design predictive models, analyze data for business solutions, and collaborate with various teams to implement models and optimize processes.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

As a Data Science Intern, you will develop and validate LLM pipelines for extracting clinical endpoints from EHR data, ensuring data quality for clinical analysis.

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.