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 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.

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.

As the internal lead for Zuora Revenue, you'll manage configuration, validate against ASC 606 standards, and ensure smooth month-end processes while supporting accounting and compliance functions.

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

The Data Analyst at HockeyStack will partner with clients to provide insights on revenue performance and marketing spend optimization, translating complex data into actionable recommendations.

As a Data Analyst, you will partner with customers to provide insights on revenue performance and marketing spend, translating complex metrics into actionable recommendations.

As a Data Analyst, you'll leverage data to provide insights and recommendations to customers regarding revenue performance and marketing spend optimization, while collaborating with internal teams to enhance customer experience.