Data Scientist Team Lead
The CaliAlfa Data Science department is at the forefront of applied AI and machine learning in the sports-tech domain. We are expanding our team and seeking a highly skilled Data Scientist Team Lead to help build next-generation predictive systems that power advanced sports insights and betting intelligence. Our team develops high-precision, real-time predictive models using advanced statistical techniques, large-scale simulation engines, and rich historical datasets to deliver accurate and actionable forecasts. What We Do: Advanced Predictive Modeling: Build precise, real-time statistical and ML models for sports outcomes. Sports Simulations: Analyze strategies, player behaviors, and game dynamics to simulate events and compute odds. Performance Forecasting: Predict lineups, player performance, in-game scenarios, and more. Role Responsibilities: Develop statistical and Machine learning prediction sports models. Engineer and leverage years of historical sports data assets. Test and ensure model accuracy through automation tests. Bring Innovations and act as a source of knowledge. Collaborate with the engineering team to bring models to production. Requirements: Masters, or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, or a related field – Must. 4+ years of experience in quantitative analytics, statistical \ Tabular data modeling. 2+ years of experience as Team Lead Data Scientist. Deep understanding of predictive modeling, regressions, decision trees, classic machine-learning models, clustering, and classification techniques. Expert in Python with a focus on performance-driven techniques and optimization. Similar industry experience- Advantage