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Position: Data Scientist (Enterprise AI) Type: Full-time Compensation: $250K - $500K/yr Location: Remote Role Responsibilities Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams. Surface, formalize, and prioritize system failure modes in real-world deployments to enhance system reliability. Design high-signal datasets and evaluation protocols to target identified weaknesses in AI systems. Run tight experimental loops to validate hypotheses and quantify improvements in system performance. Produce clear, decision-oriented analyses of system behavior and performance for stakeholders. Develop and benchmark agentic workflows, focusing on robustness and scalability to meet enterprise needs. Requirements Have a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field. Possess strong judgment for research signal quality, including data selection and evaluation design. Have experience designing datasets and evaluation frameworks for machine learning systems. Demonstrate the ability to translate ambiguous operational issues into structured research problems. Be familiar with reinforcement learning environments and/or agentic system evaluation. Application Process Easy Apply on LinkedIn Check email for next steps Participate in resume evaluation & interview stage