Founding Data Scientist / ML Engineer
Core
Build production ML models and optimization systems for real-time supply chain risk prediction and dynamic re-routing in the healthcare logistics sector.
Role type
Founding ML Engineer (Supply Chain Optimization)
Builds
Risk prediction models, dynamic re-routing optimization algorithms, data/feature infrastructure, and experimentation systems.
Domain
Healthcare logistics / Supply chain management
Deliverable
production ML models
Required skills
Python, production ML model deployment, data pipeline engineering, feature engineering, A/B testing and experimentation design, optimization algorithms, stakeholder management with ops teams
Preferred skills
Experience with IoT sensor data, handling noisy/missing data, building low-latency systems
Technologies
Python, modern data and ML stack
Responsibilities
Define and build models to flag customs holds, temperature excursions, and carrier issues; build optimization logic for dynamic re-routing; own data pipelines and feature layers from 50+ external sources; design offline evaluation and online experimentation systems to measure model lift and drift.
