Top Hybrid Data & Analytics Jobs in Chicago, IL

The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.

As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.

As a Data Scientist II at Grubhub, you will develop and enhance predictive machine learning models for delivery estimation and driver pay, collaborate with cross-functional teams, innovate using advanced tools like AWS and XGBoost, and contribute to MLOps excellence to improve operational metrics.

As a Research Analyst in Middle Market Banking and Specialized Industries, you will analyze macroeconomic data and capital markets trends, create presentations summarizing research views, and write summaries and industry reports. The role requires excellent communication skills and attention to detail in a fast-paced environment.

The Senior Machine Learning Engineer at Capital One will design and implement machine learning models and systems, collaborate with cross-functional teams, optimize ML applications, and ensure high performance and availability of deployment. Responsibilities include data pipeline construction, ML model monitoring, and leveraging cloud technologies.

As an Associate Scientist in R&D - Packaging Development at Kraft Heinz, you'll lead and support packaging development initiatives for various brands, managing projects from concept to commercialization, conducting experiments, and collaborating with cross-functional teams on sustainability, cost optimization, and brand maintenance.

The Sr. Analyst, DEI&B at Kraft Heinz will support the development and implementation of strategic initiatives to enhance diversity, equity, inclusion, and belonging within the organization, utilizing data analytics to track and measure effectiveness. The role requires collaboration with various stakeholders and a focus on employee engagement and compliance with DEI&B policies.

As a Business Technology Solutions Associate, you'll collaborate with internal and client teams to design and implement high-quality data governance solutions and support technology transformations. You'll translate business challenges into technical requirements, manage deliverables, and communicate results effectively, fostering operational improvements across diverse projects and teams.

The role involves collaborating with teams to implement data governance solutions, translating business challenges into technical requirements, leading project modules, supporting project management, developing client relationships, and mentoring junior team members.

As a Senior Associate Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and manage data integration and transformation. You'll collaborate with stakeholders to translate data requirements into technical solutions while ensuring compliance with governance and security policies. This role involves leading cloud-based data solutions and optimizing data architectures for performance and cost management.

As a Senior Manager Data Architect at PwC, you'll lead the design and implementation of data architecture strategies, develop data models, and ensure compliance with governance policies. You'll mentor teams, solve complex data challenges, and drive cloud-based solutions while collaborating with business stakeholders.

The Senior Manager in Data & Analytics at PwC will oversee the design and implementation of data solutions, manage data pipelines, and lead a high-performing team. Responsibilities include client engagement, technology integration, coaching, and maintaining quality standards. This role requires advanced analytical capabilities and a strategic understanding of technology for effective decision-making.