Soccer Data Scientist - EU at Swish Analytics

Swish Analytics is seeking a highly motivated Soccer Data Scientist to join its expanding team. The Data Scientist will play a crucial role in developing core components of Swish's data products, focusing on sports data models. The ideal candidate will possess a strong background in machine learning and statistical modeling, with specific experience in soccer or sports betting.

Responsibilities:

• Ideate, develop, and improve machine learning and statistical models for sports betting products.
• Develop contextualized feature sets using soccer domain knowledge.
• Contribute to all stages of model development, from proof-of-concept to deployment.
• Improve model performance through experimentation.
• Analyze results to assess model performance and identify weaknesses.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present to stakeholders.

Requirements:

• Masters degree in Data Analytics, Data Science, Computer Science, or related field.
• Experience developing models at production scale for soccer or sports betting.
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
• Minimum of 3+ years of experience developing machine learning and/or statistical models in sports or sports betting.
• Experience with relational SQL & Python
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working in AWS environments
• Strong leadership skills and ability to partner with teams.
• Excellent communication skills for technical and non-technical audiences.

Swish Analytics Offers:

• Base salary: €51,200.00 - €80,000.00