Applied Data Scientist

About Us Beamup helps enterprises move beyond dashboards, alerts, and manual triage to automated supply chain execution . Our AI platform supports large, complex retail and manufacturing networks by deploying specialized AI agents that operate continuously across stores, distribution centers, warehouses, and in-transit operations. These agents detect execution issues, identify root causes, and execute corrective actions - either autonomously or by routing work to the right teams. Retailers and manufacturers rely on Beamup to replace reactive workflows with consistent, scalable execution — reducing losses, improving performance, and operating with greater confidence at global scale. Our Mission To redefine supply chain intelligence by building AI agents that predict, prevent, and resolve inventory health and operational issues in real time. Job Summary: We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform — designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain. Responsibilities: Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end Architect multi-agent workflows with planning, tool use, memory, and feedback loops — enabling agents to reason, adapt, and improve over time Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilit