Lead Data Scientist
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• 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 global 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.
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