Data Scientist

Job Type:
Permanent
Categories:
Analytics & BI
Location:
Home-Based, North America
Salary Description:
Competitive Salary Offered + annual bonus
Posted:
03-Feb-21
Job Ref:
VAC - 15296

We are working currently with a highly successful iGaming operator which was founded in 1998. Since its establishment, this worldwide business has become one of the world's largest, licensed, online gaming companies with clients in more than 100 countries and is expanding.

Direct Report: Head of Sportsbook R&D

Job Purpose:
Collect, Store, Clean, Visualize, Analyze, Interpret, and Model data relevant to Sports Betting markets in order to recognize patterns and trends in betting markets.

Essential Job Functions / Main Duties & Responsibilities:
Acquire and Store data from various sources related to Sports Betting markets including: sports data, betting market data, twitter data, etc
Visualize, Analyze, 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
Travel may be required

Skills & Qualifications:
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

Knowledge & Experience:
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

Contact Details:
Tel: 07971817732
Contact: Jennifer Innes
Email:

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