Data Scientist and Machine Learning

BettingJobs are currently recruiting for a Senior NBA 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