Agentic AI Data Scientist

Job description

What's the role? We’re looking for an Agentic AI Data Scientist to drive learning, evaluation, and optimization of agentic, workflow-centric AI systems across logistics, fleet, and mobility solutions. This role focuses on transforming real-world agent behavior into structured learning signals. You will collaborate closely with Agentic Domain Architects, product, and engineering teams to extract actionable insights from agent memory, user interactions, workflow outcomes, and human corrections, and convert them into training data, evaluation frameworks, and continuous optimization strategies. This is a hands-on, applied data science role embedded in the product team with strong ownership across the full learning loop: signal → dataset → evaluation → improvement → production validation Key Responsibilities: - Signal Extraction from Agentic Systems - Design and implement methods to extract high-quality learning signals from agent memory (short-term, episodic, long-term), user interactions and feedback, workflow outcomes, human corrections, overrides, and escalations. - Partner with AI Domain Architects to ensure signals are semantically grounded in domain workflows, attributable to age...