Top Artificial Intelligence Data & Analytics Jobs

The Sr. Data Scientist will develop data-driven tools for clinical decision-making, engage with clinicians for requirements, and collaborate with engineering to launch products, focusing on analytics and machine learning.

The intern will assist in risk analysis by generating reports, monitoring insurance compliance, and participating in strategy meetings. They will also conduct research and help create loss control materials.

The Senior Business Systems Analyst will optimize revenue processes, manage end-to-end workflows, and enhance systems in collaboration with sales and revenue operations teams.

Assist the Global Workforce Analytics team with data requests, ensure data integrity, and apply data science techniques for analyzing workforce data.

The Analyst, People Operations & Analytics role involves driving data insights, optimizing HR processes, and enhancing HR technology, primarily focusing on analytics, governance, and strategic improvement in HR operations.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Deployment Strategists analyze customer objectives and develop data-driven solutions to improve business operations, often requiring travel for implementation.

The Compensation Analyst will manage customer data onboarding, analyze compensation data, and enhance data accuracy to support customer needs with a focus on AI-driven solutions.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

The Senior Data Engineer will manage data infrastructure, optimize data pipelines, ensure data quality, and support data-driven decision-making through collaborative work across teams.