Top Remote Artificial Intelligence Data & Analytics Jobs

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The Data Intelligence Analyst role involves stakeholder engagement, process analysis, and analytics to support decision-making in a federal healthcare environment. Responsibilities include building dashboards, validating data, and ensuring reporting accuracy while collaborating with technical teams and program managers.

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.

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

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

The Business Intelligence Intern will assist in data reporting, analytics, and dashboard maintenance while collaborating with Sales, Operations, and Technology teams. Responsibilities include data quality checks, writing queries, and documenting processes.

The Salesforce Administrator will support Sales Operations, Marketing, and Finance by troubleshooting Salesforce issues, collaborating on projects, and managing data within the Salesforce platform.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

Lead the development of data strategies for coding capabilities and cybersecurity. Manage vendor relationships and oversee the data pipeline, focusing on strategy and execution while ensuring data quality.