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Data Science Researcher Agentic AI

Remote, USA Full-time Posted 2026-03-20
Role: Data Science Researcher Agentic AI Location: Remote (United States) Note: Junior Candidate only between 4-8 years. Job Description: Data Science PhD Agentic AI Research Experience Level: Recent PhD graduates / Ongoing (minimal industry experience preferred) About the Role Client Research is seeking highly motivated Data Science PhD graduates to support cutting-edge research in Agentic AI, autonomous systems, and next-generation AI architectures. This is a unique opportunity to work directly with Client s advanced research teams on exploratory and applied AI projects that push the boundaries of intelligent agent behavior, reasoning, and autonomy. Selected researchers will contribute to Client-assigned research initiatives while also collaborating with internal teams on joint innovation efforts. Key Responsibilities • Conduct research and experimentation in Agentic AI, autonomous agents, multi-agent systems, and advanced machine learning. • Develop prototypes, models, and algorithms to support Client s research objectives. • Analyze large-scale datasets to derive insights and validate research hypotheses. • Collaborate with Client Research scientists and internal stakeholders to design and execute research studies. • Document findings, prepare technical reports, and present results to research and engineering teams. • Stay current with emerging research in AI, LLMs, reinforcement learning, and agent-based modeling. Required Qualifications • PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or related field (entry level candidates strongly preferred). • Strong foundation in machine learning, deep learning, and AI research methodologies. • Experience with Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX). • Familiarity with LLMs, reinforcement learning, or agent-based systems. • Strong analytical, mathematical, and problem-solving skills. • Ability to work independently in a research-driven environment. Apply tot his job Apply To this Job

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