Top Artificial Intelligence Data & Analytics Jobs

The Open Science Data Steward will manage research data lifecycle, ensure data quality, support integration with AI systems, and foster collaboration with researchers.

Lead Data Engineers at Excella design, develop, and optimize data solutions, mentor team members, and ensure technical delivery aligns with business goals.

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

As a Data Engineer, you will design and maintain data infrastructure, build ingestion pipelines, and collaborate with ML and product teams for data-driven features.

The Revenue Operations Analyst develops and manages systems for sales forecasting, reporting, and automation, partnering with Sales and Marketing to enhance revenue generation and efficiency through data-driven insights and AI tools.

The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

The Process Analyst will optimize workflows for Hut 8's data center operations by mapping processes, identifying inefficiencies, developing automation strategies, and collaborating with leadership on project delivery frameworks.

The Data Engineer will own and optimize data infrastructure, manage pipelines, troubleshoot connectors, deliver analytics, and experiment with tools.