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Data Scientist

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: TheASPA
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Scientist, Data Engineer, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Data Scientist | Tampa Bay Lightning (Jobs in Sports Performance Analysis)

Job Summary:

This positionwillwork with hockey datato 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.

  • 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 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
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.

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