EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 general 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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