Scientist Machine Learning***Scientifique en apprentissage automatique
Core
Develop, validate, and operationalize machine-learning and statistical solutions to improve supply-chain decisions, specifically focusing on demand forecasting and inventory optimization.
Role type
Applied Machine Learning Scientist
Builds
Production ML models for supply-chain and operational use cases
Domain
Supply chain analytics and operations research
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost), SQL, time-series analysis, regression, probabilistic modelling, tree-based models, feature engineering, hyperparameter tuning, model evaluation, leakage prevention
Preferred skills
Snowflake, Git, automated testing, model versioning, MLOps, deep learning, generative AI, operations research, Lean, CPIM
Technologies
Python, SQL, Snowflake, HEX, LightGBM, XGBoost, pandas, NumPy, scikit-learn
Responsibilities
Develop and improve forecasting and optimization models; Perform feature engineering and structured experimentation; Write production-quality Python and SQL; Operationalize model outputs through data pipelines and monitoring; Partner with stakeholders to define objectives and success measures
Seniority
Mid-level, hands-on IC
