BettingJobs are working with an established iGaming/sportsbook operator who are currently looking for a Data Scientist. The successful candidate will need to collect, store, clean, visualize, analyse, interpret, and model data relevant to Sports Betting markets in order to recognize patterns and trends in betting markets.
Responsibilities:
• Acquire and Store data from various sources related to Sports Betting markets including: sports data, betting market data, twitter data, etc
• Visualize, Analyse, and Interpret data
• Build and maintain data products and user interfaces for business users
• Interact with public API’s, such as Twitter, to collect relevant sports data
• Organize data products into API’s used to build internal data products and share data resources with business partners
• Develop unique approaches to solving complex modelling and inference problems, which combines the market and trading knowledge with a mathematical approach
Requirements:
• Strong passion for working with data and Data Science
• Strong background in statistics, modelling, and algorithms (Machine Learning or other)
• Ability to convey complex information through Data Visualization
• Understanding of software and ability to write code to solve problems
• Exceptional analytical, conceptual, and problem-solving abilities with attention to detail
• Strong written and oral communication skills – Fluency in English
• Ability to communicate results to engineers and non-engineers
• Good organizational skills
• Ability to multi-task and work on several projects at once
• Ability to work in an environment where the team is co-located
• Thorough understanding and passion for sports and sports betting markets preferable
• Degree in Computer Science/Software Engineering/Statistics/Economics or related study
• Expertise in R and other statistical programming languages (3+ years)
• Experience in Frequentist and Bayesian Statistical methods (2+ years)
• Experience working with Machine Learning algorithms, Probabilistic Models, and/or other statistical modelling approaches (2+ year)
• Experience with modern R packages such as dplyr, ggplot2, data.table, etc
• Experience in front-end R technologies for data products such as ShinyR, FlexDashboards
• Ability to write complex SQL queries
• Good Software Engineering Design Principles, such as Design Patterns
• Cloud Computing Experience desirable
• Some Python Experience desirable
