Data Scientist

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 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.

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

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