SCMA Senior Staff Data Scientist
Core
Architecting a fully autonomous, agentic supply chain operating system that synthesizes Large Language Models, Knowledge Graphs, and Operations Research to manage procurement decisions for 10M+ units daily.
Role type
Principal Data Scientist (Supply Chain Autonomation)
Builds
An autonomous cognitive engine for supply chain management that reduces manual execution by 50% while maximizing inventory ROI and in-stock rates.
Domain
E-commerce supply chain management and autonomous systems
Deliverable
production ML models
Required skills
Deep Learning (Time-series, GNNs, Transformers), Generative AI (LLMs, Agentic workflows), Operations Research (MIP, Dynamic Programming, Meta-heuristics), Discrete Event Simulation, Python, Java, Scala, SQL, Big Data (Spark, Clickhouse), Optimization Solvers (Gurobi, Cplex, SCIP)
Preferred skills
Experience in e-commerce, SCM, or high-complexity trading environments
Technologies
LLMs, Knowledge Graphs, Graph Neural Networks, Gurobi, Cplex, SCIP, Python, Java, Scala, Spark, Clickhouse, AnyLogic, Simio
Responsibilities
Lead the synthesis of LLMs, Knowledge Graphs, and Graph Neural Networks to create an autonomous supply chain platform; Design hybrid systems utilizing Deep Learning for signal sensing and Operations Research for constraint-based optimization; Develop models to proactively manage the entire SKU lifecycle at hyper-scale; Implement strict governance frameworks for high-stakes autonomous decisions; Lead Large-scale Discrete Event Simulations and Agent-Based models to validate scenarios; Advise leadership on the research roadmap and technical breakthroughs; Partner with SCMA Engineering to deploy production-grade models.
Seniority
Principal, scientific authority and primary architect
