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)

We offer

- International projects with top brands
- Work with integral teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead Data Scientist (Argentina)
🏢 EPAM Systems
📍 Argentina