Data Scientist - Agentic AI Systems - Loops

We are seeking a Data Scientist with a strong research mindset to help shape the future of agentic AI systems. This role blends deep analytical thinking with fast-paced experimentation and model development, where your insights will directly inform how AI agents reason, plan, and act in dynamic environments.You’ll work on a cross-functional team exploring how AI agents learn from real-world data, adapt to user intent, and interact autonomously—or collaboratively—with users and systems. If you’re a self-starter who thrives on ambiguity, builds fast, and can bridge theory with practical outcomes, this role is for you.Key ResponsibilitiesDesign and run applied research initiatives that inform the behavior and learning loops of AI agentsBuild and evaluate models for planning, memory, retrieval, reasoning, or tool use in agentic systemsDevelop internal tools and pipelines to test agent behavior across different environmentsAnalyze structured and unstructured data from user-agent interactions, logs, and experimentsRapidly prototype and test hypotheses to improve agent performance and reliabilityCollaborate with engineering, product, and design to translate insights into deployable featuresCommunicate findings clearly and concisely to both technical and non-technical audiences