Top Data Science Jobs in Chicago, IL

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.

The role involves leading data science projects to develop risk models and fraud prevention strategies. Responsibilities include analyzing data, collaborating with teams, ensuring data quality, and mentoring junior scientists.

The Data Scientist III role involves driving the analytics roadmap, performing statistical analysis, machine learning model development, and collaborating with cross-functional teams for marketing and product solutions.

As a Data Scientist on the Decision Sciences team, you will utilize statistical methods and machine learning to analyze data, create insights, and support patient care initiatives. Responsibilities include data wrangling, exploratory analysis, and collaboration with stakeholders, all aimed at improving healthcare outcomes.

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.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

Join as a Data Scientist II to develop AI systems for biomedical research, focusing on LLMs and computer vision, while collaborating with researchers.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

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 Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

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

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Senior Data Scientist develops machine learning models, analyzes complex datasets, collaborates with stakeholders, and communicates insights through visualizations and reports.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Senior Staff Data Scientist at SmithRx, you'll lead the Data team in delivering data-driven insights, mentoring talent, and driving product and business impacts through experimentation and advanced analytics in a healthcare context.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.

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 role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.