Senior Data Scientist
Core
Build and own end-to-end machine learning models for ETA/ATA forecasting and message-based status extraction to power global supply chain visibility.
Role type
Senior IC machine learning engineer (logistics/supply chain)
Builds
Production ML models for prediction and NLP extraction serving global supply chain customers
Domain
Logistics and supply chain
Deliverable
production ML models
Required skills
regression, classification, time-series forecasting, NLP, LLM-based extraction, Python, SQL, AWS, Airflow, model monitoring, observability, noisy data handling, production deployment, mentoring
Preferred skills
logistics domain knowledge, real-time streaming data, GenAI applications
Technologies
Python, SQL, pandas, scikit-learn, AWS (S3, EC2), Airflow, Grafana, Kafka
Responsibilities
Design and productionize ML models for ETA/ATA prediction; Develop NLP/LLM pipelines for text extraction and entity recognition; Own models end-to-end from pipeline to monitoring; Diagnose gaps between offline evaluation and live production accuracy; Build automated training/retraining pipelines; Replace manual processes with ML-driven automation; Mentor other data scientists and engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
