Applied Scientist (all genders) - B2B Data Science and Algorithms
Core
Building innovative ML/Optimization systems for B2B logistics partners to improve inventory health and order fulfilment efficiency.
Role type
Applied Scientist (ML/Optimization & Agentic AI)
Builds
ML/DL forecasting models, stochastic inventory optimization solutions, recommendation services, and Agentic AI systems
Domain
B2B Logistics / Supply Chain Optimization / Agentic AI
Deliverable
production ML models
Required skills
Stochastic inventory optimization, multi-echelon demand forecasting, recommendation systems, Agentic AI evaluation frameworks, LLM-as-a-judge, trajectory evaluation, safety guardrails, end-to-end model deployment, scalable service architecture
Preferred skills
Product roadmap definition, cross-functional collaboration, autonomous system design
Technologies
MCP servers, LLMs
Responsibilities
Define problem statements with product and user research, build forecasting and optimization models, design Agentic AI evaluation metrics, deploy models as scalable services, monitor real-world impact on partner KPIs
Seniority
Senior, hands-on IC
