Senior Data Scientist, Hockey Operations

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. Organization Overview:The Florida Panthers enter their 33rd season in 2026-27 as one of the National Hockey League’s premier franchises. As back-to-back Stanley Cup champions in 2024 and 2025, the Cats have emerged victorious in 11 of their past 12 postseason series and have captured four Eastern Conference championships. The Panthers are led by President of Hockey Operations & General Manager Bill Zito entering his seventh season, and President of Business Operations Michael White who begins his first full season. As the NHL’s southernmost team, the Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise; the Panthers IceDen in Coral Springs; the state-of-the-art Baptist Health IcePlex in Fort Lauderdale; and the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful year-round. An organization with deep roots in the community, the Panthers are owned by Vincent J. Viola, a graduate of the United States Military Academy at West Point and a veteran of the U. S. Responsibilities Build, maintain, and enhance analytical tools, metrics, and models in support of Hockey Operations' initiatives and decision-making Create data visualizations and reports that communicate key ideas, findings, and recommendations in an accessible and compelling way for both technical and non-technical audiences Represent R&D in discussing new projects, priorities, and analytical deliverables with coaches, scouts, and Hockey Operations decision-makers Contribute to the mentorship and professional development of junior analysts, providing feedback, code reviews, and guidance as needed Collaborate with analysts and engineers to ensure production-ready data products are available to decision-makers in a timely manner Continuously evolve the organization's analytical capabilities and practices to remain at the cutting edge of hockey analytics research Qualifications Bachelor's degree in a related technical field required; advanced degree preferred Minimum of 3–5 years of professional experience in an analytical role, ideally within sports or a data-intensive industry Prior experience working in hockey analytics, sports R&D, or with NHL-specific data sources preferred Expertise in production-grade predictive modeling, machine learning, and statistical methods Working knowledge of cloud computing, storage, and data warehousing platforms Strong proficiency in SQL and Python for analytical modeling, data manipulation, and pipeline development Knowledgeable in hockey analytics, NHL data sources, and the concepts that drive modern hockey evaluation; familiarity with multipoint skeletal tracking or spatiotemporal sports data is a plus Strong communication skills — able to deliver findings clearly to Hockey Operations staff Creative mindset, intellectual curiosity, and a desire to operate in a learning culture Position Type / Expected Hours of Work This is a full-time exempt (salaried) position. You will be on-site at our facility in Fort Lauderdale, Florida, working alongside Hockey Operations staff daily. Must be able to work evenings, weekends, and holidays during key periods of the hockey 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 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.