Data Scientist II

Responsibilities:

Machine Learning Modelling

Required Qualifications:

• Researching, developing, and implementing innovative machine learning techniques using Stats Performs wealth of sports data, across various sports such as soccer and tennis.
• Productizing your models alongside engineers and product teams, in a quick and efficient way.
• Presenting your solutions to other internal teams, broadening AI proficiency in the company.
• Identify new AI solutions for emerging problems, create requirements and propose a roadmap for delivering the project.
• Support, train and mentor team members on best machine learning implementation practices.

Desired Qualifications:

• Bachelors degree in data science, computer science, mathematics, statistics or related STEM fields.
• 2+ years of experience working as a data scientist (or similar role).
• Proficiency of Python and some experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.).
• Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.).
• Some knowledge of cloud infrastructure such as AWS or Google Cloud. At Stats Perform you will be co-responsible for ensuring the models you have created are performing in a real-world environment.
• An avid interest in sports, in particular soccer and tennis. Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects.
• A bonus: experience with sports event and/or tracking data
• Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders.