Founding Data Scientist
Core
Building production ML models and optimization systems for a logistics platform to predict shipment risks (customs holds, temperature excursions) and determine dynamic re-routing for healthcare payloads.
Role type
Founding Machine Learning Engineer (Supply Chain Optimization)
Builds
Risk prediction models, dynamic re-routing optimization algorithms, data/feature infrastructure, and experimentation systems.
Domain
Healthcare logistics and supply chain management
Deliverable
production ML models
Required skills
Python, production ML model deployment, data pipeline engineering, feature engineering, experimentation design, optimization algorithms, data modeling
Preferred skills
Experience with IoT sensor data, handling messy real-world data, defining metrics for live model evaluation
Technologies
Python, modern data and ML stack
Responsibilities
Build and own risk prediction models for shipment exceptions; develop dynamic re-routing optimization logic; construct data pipelines and feature layers from 50+ external sources; design offline evaluation and online experimentation systems.
Seniority
Founding, hands-on IC
