Data Scientist

Description

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