Soccer Data Scientist

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Conceptualize, design, and enhance machine learning and statistical models that power Swish’s fundamental algorithms for delivering cutting-edge sports betting products.

• Create contextualized feature sets utilizing in-depth knowledge of soccer.

• Participate in every phase of model development, from generating proof-of-concepts and conducting beta tests to collaborating with data engineering and product teams for model deployment.

• Aim to continually enhance model performance by leveraging insights from thorough offline and online experimentation.

• Evaluate results and outputs to determine model efficacy and pinpoint weaknesses for guiding development efforts.

• Follow software engineering best practices and contribute to shared code repositories.

• Document modeling activities and present findings to stakeholders as well as technical and non-technical partners.

⛳️ Requirements

• Master's degree in Data Analytics, Data Science, Computer Science, or a related technical field.

• Proven experience in developing models at production scale specifically for soccer or sports betting.

• Proficiency in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.

• At least 3+ years of demonstrated experience in creating and delivering impactful machine learning and/or statistical models that meet business needs in the sports or sports betting sectors.

• Familiarity with relational SQL and Python.

• Experience with version control tools such as GitHub and associated CI/CD processes.

• Background working in AWS environments, among others.

• Established record of strong leadership abilities.

• Demonstrated capability to collaborate with teams in addressing complex challenges by adopting a broad perspective to identify innovative solutions.

• Exceptional communication skills for engaging both technical and non-technical audiences.

🏝️ Benefits

• Remote work options