Lead Data Scientist
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ResponsibilitiesConduct 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 metricsImplement anomaly detection algorithms to identify outliers and operational disruptions in historical demand dataTrack and log experiments using MLflow within the Microsoft Fabric environmentPartner with Data Engineering and BI teams to ensure seamless feature delivery and prediction consumptionRequirementsAdvanced degree or equivalent experience in Data Science, Statistics, Operations Research, or Computer ScienceExpertise in Time Series Forecasting, Machine Learning, and mathematical optimizationProficiency in Python and modern ML libraries such as LightGBM, XGBoost, and Scikit-learnFamiliarity with Prophet and OptunaExperience with experiment tracking using MLflow and validation methodologies such as walk-forward CVProfessional English proficiency (B2+/C1)
We offer
International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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