Data Scientist

As an eSports Data Scientist, the candidate will be responsible for collecting, storing, cleaning, analyzing, visualizing, interpreting, and modeling data relevant to eSports in order to recognize patterns and trends in betting markets.

Our ideal candidate should have:

• Degree in Computer Science/Software Engineering/Statistics/Economics or related study
• Expertise in R and other statistical programming languages (minimum 3 years)
• Experience in Frequentist and Bayesian Statistical methods
• Experience with Machine Learning algorithms, Probabilistic models, and other statistical modeling approaches
• Strong knowledge in major eSports titles such as CSGO, DOTA2, LoL, and Valorant
• Experience with modern R packages such as dplyr, ggplot2, and data.table
• Experience in front-end R technologies for data products such as ShinyR and FlexDashboards
• Ability to write complex SQL queries
• Good Software Engineering Design Principles, such as Design Patterns

We offer:

• An environment passionate about growth and learning
• Competitive salary with bonus
• Fitness subsidy program
• Workplace that is conveniently located along the Yonge/Sheppard line

What we are looking for:

This is a key role within the team and would suit someone who has a strong passion for working with data, data science, eSports, and eSports data. A thorough understanding and passion for sports and sports betting markets is preferred.