Top Artificial Intelligence Data & Analytics Jobs

The Data Platform Engineer will architect scalable data infrastructures for spacecraft operations, focusing on data pipelines, real-time streaming, and AI/ML systems. Responsibilities include collaborating with teams, ensuring data quality, and establishing data governance practices.

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.

Develop and deploy machine learning models for Hinge's dating platform, collaborating with teams and mentoring junior engineers.

As a Principal Data Engineer, you will design and develop data pipelines in a cloud-based environment, mentor junior developers, and improve data solutions for analytics and reporting across the organization.

As a Guidewire Policy Center Principal Data Engineer, you'll design, develop, and test data solutions in a cloud-based environment, while collaborating within an agile team and mentoring others.

As a Principal Data Engineer, you will design and build data solutions for analytics and reporting, focusing on ETL pipelines in a Cloud environment while collaborating within an Agile team.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

As a Strategy Insights & Planning Associate Consultant, you will conduct market research, analyze data, and provide insights to clients while mentoring associates.

Lead a team to develop data-driven strategies to enhance engagement for partners and creators on Snapchat, while collaborating with various stakeholders.

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 Senior Business Systems Analyst will optimize revenue processes, manage end-to-end workflows, and enhance systems in collaboration with sales and revenue operations teams.

Lead data governance strategy and execution, manage data quality, coordinate with cross-functional teams, ensure regulatory compliance, and promote data stewardship across the organization.