Top Artificial Intelligence Data & Analytics Jobs

The Business Analyst acts as a liaison between the client and technical teams, analyzing complex business problems, developing requirements, and providing training. Key duties involve working with BI/DW teams, understanding data warehousing concepts, and assisting users with analytics tools.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

The Senior Data Architect will manage data architecture for Oura's Data Products, optimize cloud infrastructure, implement data governance, and collaborate on analytics and AI readiness frameworks, ensuring data foundations and models are scalable and trustworthy.

The Senior Data Engineer designs and implements scalable data pipelines and reporting infrastructure, ensuring high throughput, reliability, and observability in distributed systems.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Develop AI-powered workflows, optimize data pipelines, fine-tune Large Language Models, and research novel AI techniques in a collaborative team.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.