Soccer Data Scientist - EU

Swish Analytics is a sports analytics startup hiring a Soccer Data Scientist to develop machine learning and statistical models for sports betting products.

Requirements

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
• Demonstrated 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 demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs 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 etc
• Proven track record of strong leadership skills
• Excellent communication skills to both technical and non-technical audiences

Benefits

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