The CaliAlfa Data Science department is at the forefront of applied AI and machine learning in the sports-tech domain. Our team develops high-precision, real-time predictive systems that power next-generation sports insights and betting intelligence.

We leverage advanced modeling, large-scale simulation engines, and rich historical datasets to deliver accurate and actionable predictions.

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.
• 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