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eSports Data Scientist
About the Role:
As an eSports Data Scientist, the candidate will be responsible for the collecting, storing, cleaning, analyzing, visualizing, interpreting, and modeling data relevant to eSports to recognize patterns and trends in betting markets.
The 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 modelling approaches
- Strong knowledge in major eSports titles such as CSGO, DOTA2, LoL, Valorant
- Experience with modern R packages such as dplyr, ggplot2, data table
- Experience in front-end R technologies for data products such as Shiny R, and Flexdashboard
- Ability to write complex SQL queries
- Good Software Engineering Design Principles, such as Design Patterns
- Cloud Computing experience desirable
- Some Python experience desirable
We offer:
- An environment passionate about growth and learning
- Competitive salary with bonus
- Fitness subsidy program
- Snacks and beverages in the office
- Workplace that is conveniently located along the Yonge/Sheppard line
We are looking for:
This is a key role within the team and would suit someone who has a strong affinity with IT security, responsible and curious. Proficiency in written and spoken English is a must. Strong analytic, conceptual, and problem -solving abilities with attention to detail is needed. Individual must be self-motivated, team player, action and results oriented.