Our client, an innovative sports betting modelling business based in central London, is looking for a talented Senior Data Scientist to join their team.
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:
An advanced degree (PhD, MSc, BSc) in a STEM subject or equivalent experience in a professional data science role
Demonstrable experience solving complex analytics and modelling problems within sports/betting domains
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 visualization’s 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
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