Top Data Science Jobs in Chicago, IL
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
You will be part of a central data science team at Atlassian, responsible for ensuring metrics consistency, collaborating on product and business problems, applying technical expertise in data analysis, and influencing strategy decisions.
The Senior Machine Learning Modeler at Cash App is responsible for using Machine Learning and Generative AI to detect illegal activity on the platform and improve agent productivity. This role involves building classification models and leveraging diverse datasets to enhance ML and generative AI models.
Join the Analytics team of a high-growth Population Health and Analytics software company as a Senior Analyst. Responsible for creating high-value analytics for enterprise customers, developing patient stratification models, delivering dashboards, and analyzing claims data. Collaborate with various teams and be a subject matter expert on the company's analytics product.
Featured Jobs
Collaborate with a team to create machine learning solutions for fraud detection and identity verification, utilizing Python and other tools. Develop, implement, and refine machine learning models to reduce business risks and enhance customer experiences. Document processes, improve frameworks, and generate reports for continuous monitoring of analytical systems.
The Geospatial Data Scientist Expert at Arity will be responsible for working with large geospatial datasets, building spatial and machine learning models, and identifying business opportunities for geospatial data science. They will also collaborate with cross-functional teams to develop solutions and enhance Arity's products in the transportation industry.
Join Square as a Senior Data Scientist in the Payment Risk team. Use advanced statistical techniques to improve risk controls, prevent fraud, and influence product roadmaps. Develop data pipelines, ETLs, and machine learning solutions to protect sellers from bad actors. Collaborate with cross-functional teams to drive innovative risk solutions and enhance the seller experience. Ideal for experienced professionals with a strong background in statistics and machine learning.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving revenue growth. Must have experience in customer lifecycle analysis, digital campaigns, and growth analytics in a SaaS environment. Responsibilities include developing quantitative models, identifying trends, and building data foundations for long-term growth.
Seeking a highly skilled NLP Scientist to develop innovative NLP/AI solutions for life science, collaborating with internal teams and clients, mentoring junior members, and publishing findings in journals and conferences.
Responsible for providing thought leadership and strategic thinking to solve business problems using techniques such as segmentation, optimization, advanced analytics, and machine learning. Manages a team of quantitative analysts, ensures team performance, and identifies and prioritizes initiatives for flawless execution. Develops and coaches teams to manage and escalate risk effectively. Operates as a subject matter expert on statistical analysis and financial impact analysis.
Contribute to building Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges, propose models, collaborate with a team, and deliver high-quality solutions.
All Filters
No Results
No Results
