BettingJobs are currently recruiting for a Senior MLB 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
