Top Data Science Jobs in Chicago, IL

The Data Scientist will analyze Tempus's clinical and genomic data to facilitate academic research by developing databases and improving data models.

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.

Lead Data Scientist role focused on guiding a team to develop intelligent analytics using AI and machine learning for Cat Foresight, including data gathering, model optimization, and business insight presentation.

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

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

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.

Lead translational research projects using large-scale multi-omic data. Collaborate on data models for clinical insights, ensuring analytical rigor and reproducibility.

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.

As a Data Scientist III, you will drive the analytics roadmap, providing descriptive and predictive solutions using data mining, statistical, and machine learning techniques while collaborating with various teams.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

As a Data Scientist, you will analyze large data sets using statistical methods, build predictive models, and collaborate with teams to derive insights that drive business solutions.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

As a Data Scientist II, you'll conduct analyses to optimize pricing and marketing, develop predictive ML models, and collaborate with teams to drive data-driven solutions.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Senior AI Data Scientist will develop AI solutions, conduct data analysis, and support marketing analytics in consumer lending.