Lead Data Scientist, Sports

Job Summary

Required Qualifications

• Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field
• Proven success in leading the design, development, and deployment of sophisticated predictive models
• Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch
• Proven ability to design and implement complex machine learning solutions and guiding best practice
• Deep understanding of statistical analysis and probability theory
• Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments
• Track record of mentoring junior colleagues and successfully leading technical projects
• Experience with cloud computing environments for scalable solutions
• Leading the development and implementation of innovative data solutions for complex challenges
• Overseeing advanced analysis of large datasets to derive actionable insights
• Developing predictive models and algorithms using statistical techniques and machine learning
• Conducting and supervising rigorous statistical validation of models against historical and live data
• Collaborating with trading teams to incorporate domain expertise into mathematical models
• Partnering with software architects and developers to ensure alignment with technical solutions
• Optimising model performance for both accuracy and computational efficiency
• Researching and implementing novel approaches from academic literature and industry advancements
• Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities
• Identifying and defining new opportunities for data-driven insights