At 365Scores, we're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide. As a Senior Data Scientist at 365Scores, you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals. Responsibilities Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation) Build end-to-end ML pipelines — from data ingestion and model training to serving, monitoring, and incident response Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance Maintain and improve real-time models that adapt to incoming data and feedback signals Mentor junior team members on ML best practices and production standards Requirements 5+ years in ML roles with demonstrated production impact Advanced degree (MS/PhD) in a quantitative field, or equivalent industry depth Deep expertise in mathematical optimization — convex, constrained, and gradient-based methods Hands-on experience with Bayesian or hyperparameter optimization Strong causal inference skills — propensity scoring, uplift modeling, or experimental design Applied ML experience in optimization domains: pricing, bidding, or resource allocation Advanced time series modeling for dynamic, decision-making systems Proven experience deploying and monitoring real-time ML models in production Familiarity with experiment tracking, model versioning, and performance monitoring
