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