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Job listing closed on 5 Jun 2024
29 Nov 2023


🇺🇸 Sunrise, FL, USA
Full Time
2+ years exp.

The Florida Panthers are a community focused organization led by an authentic management team that served our country and now serves the South Florida community. The organization is on the rise and is experiencing success both on and off the ice. Led by General Manager Bill Zito, the Panthers are coming off their best season in franchise history. Off the ice, the business is experiencing growth across all key metrics and our revenue is at an all-time high. The organization is expanding outside of Amerant Bank Arena via the renovation of the FTL War Memorial/Baptist Health IcePlex in downtown Fort Lauderdale. This state-of-the-art ice facility will feature two regulation-size rinks, including a team practice rink with stadium seating, the Panthers’ new practice facilities spanning over 33,000 sq.ft. of offices and off-ice training facilities, and a 4,000-capacity music theatre for live entertainment. The future is bright, and we are very proud of what we are building in South Florida.

Job Title: Hockey Data Scientist
Department: Hockey Operations
Reports To: Assistant General Manager and Head of Analytics
FLSA: Exempt
Employment Type: Full-Time
Location: Amerant Bank Arena, Sunrise, Florida

Job Summary:

While the art and science of leveraging data for insights in sports has been around for decades, there is still a tremendous amount of room for innovation in the hockey world. This is your chance to join one of the franchises in the NHL that is at the tip of the spear when it comes to implementing data into the hockey operations decision-making cycle. The Florida Panthers are looking for a data scientist in the early part of their career to contribute energetically to this effort. You will be critical to the franchise’s future success while also serving as a key member of the growing Hockey Data Science Team.

Essential Duties & Responsibilities:

Specific duties include but are not limited to:

  • Utilize various hockey data sources, including new spatiotemporal tracking data, to build predictive statistical models which will aid in decision making pertinent to player acquisition, roster construction, and many other areas of Hockey Operations
  • Create customized reports, visualizations, and dashboards designed to ease the data interpretation process
  • Work with Data Engineers and the entire Data Science team to help with the acquisition of data using automated coding pipelines
  • Interface with other members of Hockey Operations to assist in the delivery and translation of information


  • Fluency in Python and R, particularly as it pertains to a wide array of statistical modeling methods such as Generalized Linear Models, Bayesian hierarchical or mixed effects models, Tree-based methods, Gaussian Processes, and Neural Networks
  • Experience working with datasets larger than a terabyte
  • Undergraduate level understanding of linear algebra and calculus
  • Ability to create useful data visualizations and deploy them to web applications
  • General data acquisition, SQL, scraping, wrangling, and cleaning competence
  • Strong communication and interpersonal skills
  • Extensive hockey knowledge and experience, playing or otherwise

Position Type/Expected Hours of Work:
This is an exempt (salary) position located in Sunrise, FL. Must be able to work flexible hours, nights, weekends, and holidays as needed or required by the demands of the NHL schedule.

At the Florida Panthers Hockey Club, Arena Operating Company, Panthers IceDen, Sanza Food Service, War Memorial Benefit Corporation, and FLA Team Shop, we strive to make every employee feel valued and respected for who they are and the unique contributions they make. We believe that a diverse and inclusive company is a more innovative and successful company, which is why we aim to infuse diversity, equity, and inclusion (DE&I) into all aspects of our culture and our business.

We welcome all to apply and join our team.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.