Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC

The Data Engineer will build and maintain data pipelines and infrastructure, collaborate with data analysts, enhance data systems, and educate the business on best practices to support Strike’s product roadmap.

The Senior Data Conversion Consultant - Programmer collaborates with higher education clients to implement Jenzabar software and transform legacy data. Responsibilities include developing SQL scripts for data transformation, managing project timelines, and ensuring effective communication with stakeholders throughout the implementation process.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.

As a Staff Scientist in Data Science & AI at Helix, you will lead research initiatives in healthcare AI/ML, develop models to analyze genomic and clinical data, and integrate AI solutions into product pipelines. You will also drive the evaluation of emerging ML technologies and contribute to technical direction, including authoring technical papers.

The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.