Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings
Conduct comprehensive data analysis to extract actionable insights
Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark
Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization
Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions
Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities

Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience
4+ years of experience in data science, preferably in a sports analytics environment
Proficiency in Python and experience with Databricks
Strong programming skills in Python, including experience deploying models beyond exploratory notebooks
Documented experience in football analytics, demonstrated through industry experience, public content, or significant independent projects
Solid foundation in statistical modeling and machine learning methodologies
Proven ability to independently identify and resolve data-related challenges in real-world datasets
Effective communication skills, with experience explaining technical concepts clearly

Senior Football Data Scientist

Key skills