Data Scientist (f/m/d)
Core
Design, build, and maintain end-to-end ML pipelines for document extraction, classification, and data enrichment in production logistics systems.
Role type
Senior IC machine-learning engineer (logistics/document automation)
Builds
Production ML systems for document data extraction, vocabulary mapping, and predictive analytics
Domain
Logistics and supply chain
Deliverable
production ML models
Required skills
Python, LLMs (prompting, fine-tuning, evaluation), classical data science and statistics, ML pipeline architecture, monitoring, reliability engineering, agentic coding tools
Preferred skills
Experience with human-in-the-loop (HITL) data, semantic similarity modeling, disruptive model architecture evaluation
Technologies
Python, LLMs, HITL frameworks, monitoring/alerting tools
Responsibilities
Design and maintain end-to-end ML pipelines for document extraction and classification; Build prompt evaluation frameworks and feedback-based optimization loops; Train custom in-house models using human-in-the-loop data; Build and maintain semantic similarity models for free-text to standardized vocabulary; Improve pipeline reliability through redesign, testing, and monitoring; Partner with Product Managers to identify user pain points and shape roadmaps; Collaborate with Engineering teams on integration and API design.
Seniority
Senior, hands-on IC
