What are the responsibilities and job description for the Data Scientist position at Tampa Bay Lightning?
Job Summary:
This position will work with hockey data to fulfill given directives as well as the ability to create new projects and communicate results. This role will be 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 create impactful solutions in a growth-minded environment and culture. This full-time position will 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.
Essential Duties & Responsibilities:
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
Game/Event Responsibilities:
Option to attend all home games
Qualifications:
Computer Science, Math, Engineering or Physics degree required
Minimum 3-5 years of 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 a team-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
Preferred Qualifications:
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.
