Senior Data Scientist

📋 Description

• Design and deploy ML models for LTV, user classification, and personalization
• Analyze model performance over time; detect drift and degradation
• Collaborate with Marketing for decision-making and forecast analyses
• Improve data pipelines and model deployment with data engineers
• Design and maintain production ML pipelines: features, training, inference
• Evaluate alternative modeling approaches for forecasting tasks

🎯 Requirements

• 3+ years (Mid) or 5+ years (Senior) in data science with ML
• Strong proficiency in Python and SQL
• Experience with NumPy, Pandas, Scikit-learn, XGBoost/CatBoost
• Solid understanding of ML algorithms and evaluation metrics
• Experience building, evaluating, and maintaining ML models for business problems
• End-to-end ML pipelines: data prep, feature engineering, training, deployment

🎁 Benefits

• Remote-friendly team of 700+ professionals
• Global hubs: Cyprus, Ukraine, Poland, Spain, UK
• Fast-paced, growth-oriented environment