Supply Chain Analytics Scientist

About the Role

We’re looking for a Data Scientist with strong applied AI expertise to build, deploy, and scale

data-driven solutions for logistics, and intelligent decision systems. You’ll work with large-

scale supply chain data to develop predictive and generative AI models that enhance

operational efficiency and business outcomes.

What this role entail

• Design and implement machine learning, deep learning, and AI-driven optimization models for logistics and operations.
• Build scalable and robust data preprocessing pipelines and reproducible modelling pipelines.
• Conduct A / B testing, model monitoring, and performance tuning to ensure reliability.
• Experiment with new models and techniques.
• Test performance of data-driven products.

What lands you in this role

Technical Skills

Programming : Python, SQL, PySpark

ML / AI Frameworks : Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM

Data Engineering : Redshift, Kafka, AWS S3, Snowflake

Model Serving : FastAPI, Triton, Ray Serve, Docker

Visualization : Power BI, Plotly, Tableau

Bonus : LLMs (LangChain, Transformers), Reinforcement Learning, or GNN

Qualifications

Nice to Have : Experience with Agentic AI systems, multi-modal AI (vision + text), or real-time

ML.