Top Remote Data Science Jobs in Raleigh, NC

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior Data Scientist will lead data analysis for feature areas to drive user growth, create measurement strategies, and deliver insights for product decisions.

The Senior Data Scientist will lead analytical support for Firefox features, providing insights to drive user growth and influence product decisions through statistical modeling and experimentation.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.

Lead the design and deployment of AI/ML solutions for business impact, mentor data scientists, influence analytics strategy, and establish modeling standards.

The Principal Data Scientist will develop fraud detection systems, lead technical projects, mentor team members, and collaborate with engineering to improve data verification processes.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.