AlfaBet is looking for an additional data science star to join our team of sport modelling masters who leverage the cutting-edge advancements in Data Science technology and harness the vast and diverse range of sports events to create insightful models for sports analysis and prediction.
100% Remote Position
Key responsibilities:
-Develop statistical and machine learning prediction sports models
-Engineer and leverage years of historical sports data assets
-Implement sports models pricing engines in Python
-Test and ensure model accuracy through automatic tests
-Bring Innovations and act as source of knowledge
-Collaborate with engineering team to bring analytical prototypes to production
Qualifications:
-Masters, or Bachelors degree in Statistics, Data Science, Mathematics, Computer Science, or a related field - must
-At least 4 years' of experience in quantitative analytics, statistical \ data modelling
-Deep understanding of predictive modeling, machine-learning, clustering, regression and classification techniques.
-Expert in Python with a focus on performance-driven techniques and optimization.
-Understanding of Engineering principles, OOP, MLOps, Kubernetes
-If you're a creative thinker, passionate about data science and sport, and looking for an exciting new challenge, don't miss your next opportunity and apply now.
* Fully Remote
Modeling Classification Data Science Sports Kubernetes Machine Learning Statistics Optimization Analytics Mathematics Computer Science Python Engineering Science