Data Scientist
Core
Apply modern ML/AI techniques to predict outcomes of sports events, focusing on in-game, real-time modelling for NFL, NBA, and MLB.
Role type
Machine Learning Engineer (Sports Analytics)
Builds
Real-time prediction models integrated into InPlay Innovation's products
Domain
Sports analytics and machine learning
Deliverable
production ML models
Required skills
Python, scikit-learn, pandas, numpy, pytorch, tensorflow/keras, statistical methods, contemporary ML algorithms
Preferred skills
Experience with sports and/or gaming, advanced degree in Math or Statistics
Technologies
Python, scikit-learn, pandas, numpy, pytorch, tensorflow, keras
Responsibilities
Collect, extract, integrate, and analyze large volumes of data from various sources; Apply ML/AI techniques for real-time sports event prediction; Work with engineering and design teams to integrate models into products
Seniority
Mid-level, hands-on IC