Data Scientist - NHL

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

This positionwillwork withhockey data to fulfillgivendirectives as well as the ability to create new projects and communicate results.

This role willbe part of a team-based environment in the hockey analytics department and is expected to work at Benchmark International Arena.

Here is a unique opportunity to createimpactful solutions in agrowth-minded environment and culture.

Thisfull-timepositionwill report to the Director of Hockey Analytics and Associate Director of Hockey Analytics.

We ask that you submit a cover letter for this position. In your cover letter, please discuss prior work or a project you have done that you are most proud of. Please also discuss why you are interested in the position. Additionally, please provide any examples of your open-source projects or public work that you can share.

• Build and validate models for hockey metrics using multiple data sources
• Create projects to advance our understanding of hockey
• Collaborate with other data scientists, data engineers, etc.
• Responsible for communicating the results of projects to coaches and management
• May be expected to travel a few times a year for work

• Option to attend all home games

• Computer Science, Math, Engineering or Physicsdegreerequired
• Minimum 3-5 yearsof experience writing modern Python code
• Experience using Docker
• Experience using SQL databases
• Experience working with time series data
• Ability to write geometric and physics analyses
• Ability to problem solve and a desire for personal development
• Experience working in ateam-based environment
• Familiarity with Git/VCS
• Ability to collaborate with others and take ownership of projects
• Ability to interpret results and communicate effectively
• Ability to understand and implement research papers related to sports and data science

• Graduate Degree in Physics, Math or Engineering
• Machine learning concepts and applications
• Advanced statistical modelling and knowledge of statistics
• Familiarity working with sports data

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.