Lead Data Scientist

We are seeking a Lead Data Scientist to drive core modeling execution, including running competitive model bake-offs, selecting champion models, performing model evaluation, and implementing anomaly detection.

Responsibilities

• Conduct model experimentation and bake-offs across multiple algorithmic families (tree-based regressors, statistical forecasting, deep learning, optimization)
• Select and justify the champion model based on cross-validation and business-defined error metrics
• Implement anomaly detection algorithms to identify outliers and operational disruptions in historical demand data
• Track and log experiments using MLflow within the Microsoft Fabric environment
• Partner with Data Engineering and BI teams to ensure seamless feature delivery and prediction consumption

Requirements

• Advanced degree or equivalent experience in Data Science, Statistics, Operations Research, or Computer Science
• Expertise in Time Series Forecasting, Machine Learning, and mathematical optimization
• Proficiency in Python and modern ML libraries such as LightGBM, XGBoost, and Scikit-learn
• Familiarity with Prophet and Optuna
• Experience with experiment tracking using MLflow and validation methodologies such as walk-forward CV
• Professional English proficiency (B2+/C1)