Top Remote Artificial Intelligence Data & Analytics Jobs

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.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

Conduct research, due diligence, and landscape analyses to identify high-potential grantees in data and AI for social good. Produce evidence-based recommendations, monitor portfolio outcomes, synthesize learnings, and support Strategic Capital projects and external engagement to inform grant decisions and strategy.

Manage eDiscovery processing and document productions, ensuring data quality and accuracy while mentoring staff and coordinating with project stakeholders.

The Specialist helps clients develop data-driven customer experience strategies through analysis, insight generation, client engagement, and training presentations, in a fast-paced environment.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

This role involves underwriting cyber insurance for middle market businesses, managing broker relationships, ensuring profitability, and collaborating with teams to improve services and processes.

The Associate Consultant will support project implementations, build client relationships, and work on data engineering and analytics initiatives. Responsibilities include gathering requirements, supporting data integration, and implementing Microsoft data solutions.