Sports Betting Data Scientist

BettingJobs are currently recruiting for a Sports Betting Data Scientist based in London for an innovative betting company.

Responsibilities:

• Lead the development of models and supervise ad hoc analysis using a variety of data sources to solve tasks relevant to the business (e.g. supporting development of existing and/or new sports forecasting products)
• Extract meaningful insight from sports data using sound Mathematical/Statistical principles
• Collaborate with and lead other members of the Data Science team to propose ideas and solve modelling problems relating to new/existing products
• Follow typical development processes in terms of code management and structure
• Liaise with various teams around the business (including Model Engineering and Data Collection teams where appropriate) to assist with tasks relevant to the modelling team

Requirements:

• 5+ years’ experience in sports betting/analytics industry in a quantitative or data science role
• Possesses significant experience and a passion for statistical modelling of MLB or NBA
• Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents)
• Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models
• Experience with concurrent development source control (GIT)
• Familiarity with SQL and experience working with relational databases
• Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously
• Strong problem-solving skills with a pragmatic and analytical outlook