BettingJobs are currently hiring for a Data Science Manager for a leading sports betting data modelling company.
The successful candidate will play an integral part by driving the implementation of the product offering and ensuring the business meets client demands with respect to accurate and low latency sports forecasts.
Responsibilities:
• Collaborate with members of the Data Science team to propose ideas and solve modelling problems relating to new/existing products.
• Resource planning of the Data Science team to optimise business objectives and Data Science tasks in ongoing projects.
• Line Management to all members of the Data Science team.
• Represent the Data Science team in project meetings, ensuring that efficient updates are presented to the rest of the business.
• Liaise with various teams around the business (including Model Engineering and Data Collection teams where appropriate) to assist with tasks relevant to the Data Science team.
• Develop and maintain Data Science documentation such that new joiners have a smooth onboarding process.
• Encourage best software development practices with respect to code management and structure.
Requirements:
• A degree (PhD, MSc, BSc) in a STEM subject or similar provable numerate and quantitative skills.
• Demonstrable experience managing a team that is tasked with solving complex analytics and modelling problems (preferably within sports/betting domains)
• Line Management and Leadership experience.
• 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.
• Ability to demonstrate an understanding of a typical Back Office Architecture and Modelling in the Sports Betting Industry.
• Experience using DevOps tools such as Azure DevOps / Jira.
• Coaching individuals through effective goal setting, providing regular feedback and conducting performance evaluations.
• Ability to make sound judgements and decisions based on analysis and critical thinking.
• Familiar with Data Engineering and development for machine learning.
• Experience working on the .Net framework, particularly with C#.
• Experience working with Python/R.
• Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models and analyses.
• Experience with concurrent development source control (GIT).
• Familiarity with SQL and experience working with relational databases.
• A keen interest in American sports
