Soccer Data Scientist - Europe
RemoteLondon, England, United Kingdom
Job Summary
Ideate, develop, and improve machine learning and statistical models that drive core algorithms for producing state-of-the-art sports betting products. Create contextualized feature sets using domain knowledge in soccer and contribute to all stages of model development, from proof-of-concepts and beta testing to partnering with data engineering and product teams for deployment. Strive to constantly improve model performance using insights from rigorous offline and online experimentation, analyze results to assess performance and identify weaknesses, and document modeling work while presenting to stakeholders. Adhere to software engineering best practices, contribute to shared code repositories, and utilize relational SQL and Python within AWS environments.
Required Qualifications
- 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
- Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
- Excellent communication skills to both technical and non-technical audiences
- At the employer's discretion, this position may require successful completion of background and reference checks
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