Top Hybrid Data & Analytics Jobs in Chicago, IL

As a Distinguished Data Engineer at Capital One, you will lead innovative data solutions involving machine learning and generative AI, mentor other engineers, and ensure high-quality data infrastructure and operational platforms capable of handling large data pipelines while promoting a culture of excellence in the tech community.

In this role, the Principal Data Scientist will partner with cross-functional teams to build machine learning models. Responsibilities include leveraging technology to analyze data, validate models, and translate complex findings into business insights while safeguarding customers from fraud.

The Sr. Business Manager leads a team to transform data into actionable insights for optimizing customer experience. Responsibilities include strategic planning, product development, marketing, credit risk analytics, and team management. The role requires a strong analytical orientation and significant leadership capabilities to drive business strategies.

This role involves extracting, managing, and analyzing data for Discover, providing insights and recommendations to stakeholders, and supporting the development of standard analyses and reports. The analyst will coach less experienced team members on statistical concepts and methodologies and manage risk and customer issues effectively.

As an Applied AI/ML Lead, you will analyze business problems and develop advanced machine learning solutions. Responsibilities include leading AI initiatives, collaborating with various teams, developing ML pipelines, and effectively communicating technical concepts to stakeholders.

The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.

As a Senior Data Scientist at Caterpillar, you will lead analytics projects, utilizing machine learning and statistical modeling to derive insights and optimize business processes. Responsibilities include data cleaning, mentorship of junior data scientists, and developing advanced algorithms to enhance troubleshooting processes for customers.

The Data Governance/DCAM Senior Consultant will conduct assessments, develop analytics dashboards, and interview stakeholders. Responsibilities include creating and applying data management policies, ensuring adherence to data governance standards, and collaborating with various stakeholders to achieve objectives outlined in data roadmaps.

The Senior Scientist II will develop computational methods for drug discovery, focusing on cancer therapeutics using Tempus’ clinico-genomic database. Responsibilities include strategic collaborations with pharma clients, independent research projects, and effective scientific communication. The candidate is expected to contribute to data analyses, develop biomarkers, and enhance research methodologies.