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Full Time Nhl Data Science Jobs (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Minimal ( Job Type: Full-Time Clearance: Active Top Secret (TS) with ability to obtain SCI Job Posting Estimated Close Date: July 30, 2026 Overview: INTECON is seeking a Senior Data Science ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Minimal ( Job Type: Full-Time Clearance: Active Top Secret (TS) with ability to obtain SCI Job Posting Estimated Close Date: July 30, 2026 Overview: INTECON is seeking a Senior Data Science ...

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Full Time Nhl Data Science information

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$165K

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How much do full time nhl data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for full time nhl data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Full Time NHL Data Science job?

A Full Time NHL Data Science job involves using statistical analysis, machine learning, and data visualization to help National Hockey League (NHL) teams or organizations make data-driven decisions. Data scientists in this field analyze player performance, game statistics, and other data sources to provide insights that can improve team strategy, scouting, and player development. The role typically requires strong programming skills, knowledge of sports analytics, and the ability to communicate findings to coaches, managers, and executives. Full time positions offer stability, benefits, and the opportunity to work closely with hockey professionals throughout the season.

What are some common challenges faced by data scientists working full-time in the NHL, and how can they be addressed?

One common challenge for NHL data scientists is integrating diverse data sources, such as player tracking, game statistics, and scouting reports, into actionable insights for coaches and management. Balancing real-time analysis with long-term research projects also requires strong time-management and communication skills. Collaborating effectively within multidisciplinary teams—often including coaches, scouts, and IT professionals—helps ensure that complex models translate into practical, game-improving strategies. Staying updated with the latest sports analytics tools and methodologies further supports success in this dynamic role.

What are the key skills and qualifications needed to thrive as a Full Time NHL Data Scientist, and why are they important?

To thrive as a Full Time NHL Data Scientist, you need a strong background in statistics, data analysis, and programming, typically supported by a degree in mathematics, statistics, computer science, or a related field. Proficiency with data science tools such as Python, R, SQL, and machine learning frameworks, as well as experience with hockey analytics databases and visualization software, is essential. Strong communication, problem-solving, and teamwork skills help convey insights to coaches, analysts, and management effectively. These skills enable data-driven decision-making that can improve team performance and gain a competitive edge in the NHL.

What is the difference between Full Time Nhl Data Science vs Full Time Nhl Data Analyst?

AspectFull Time Nhl Data ScienceFull Time Nhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skillsDegree in Analytics, Statistics, or related; basic data skills
Work EnvironmentCollaborative, research-focused, often involves modeling and machine learningOperational, reporting-focused, involves data interpretation and visualization
Employer & Industry UsageUsed by teams for predictive modeling, player performance analysis, strategic decisionsUsed for reporting, data tracking, and supporting game-day decisions

Full Time Nhl Data Science roles focus on advanced analytics, machine learning, and predictive modeling to inform strategic decisions. In contrast, Full Time Nhl Data Analysts primarily handle data reporting, visualization, and supporting day-to-day operations. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling, while Data Analysts focus on data interpretation and presentation.

More about Full Time Nhl Data Science jobs
What cities are hiring for Full Time Nhl Data Science jobs? Cities with the most Full Time Nhl Data Science job openings:
What are the most commonly searched types of Nhl Data Science jobs? The most popular types of Nhl Data Science jobs are:
What job categories do people searching Full Time Nhl Data Science jobs look for? The top searched job categories for Full Time Nhl Data Science jobs are:
Full Time Nhl Data Science jobs near you
Infographic showing various Full Time Nhl Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

Full-time

Posted 19 days ago

Job description

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. Army. Emphasizing a culture of selfless service both on and off the ice, the Panthers pillar program, "Heroes Among Us," honors a United States military veteran at every game. The Florida Panthers Foundation focuses on four core pillars: veterans' affairs; children's health and education; raising awareness for the endangered Florida Panther; and growing youth hockey throughout the region. The Panthers remain committed to empowering our fans to live sustainably and to strengthen the resiliency of our diverse communities throughout Florida and the tri-county area.
Senior Data Scientist, Hockey Operations
  • Organization: Florida Panthers Hockey Club
  • Department: Hockey Operations - Research & Development
  • Reports To: Director of Research and Development
  • FLSA Status: Exempt (Salaried)
  • Employment Type: Full-Time
  • Location: Baptist Health IcePlex, Fort Lauderdale, FL - On-Site
  • Schedule: Flexibility required for evenings, weekends, and holidays during key periods of the hockey calendar (Trade Deadline, Amateur Draft, Training Camp)
Job Summary
As a Senior Data Scientist, you will be a foundational member of the R&D team responsible for driving analytical initiatives related to Hockey Operations and its supporting departments. You will build and deploy models, metrics, and tools that inform Hockey Operations decision-making and help communicate those insights clearly to stakeholders at all levels.
This role requires strong analytical depth, proficiency across the modern hockey analytics stack, and the ability to translate complex findings into compelling, actionable outputs. You will report directly to the Director of Research and Development and play a meaningful role in shaping how the organization applies data to competitive decision-making.
Essential Duties & 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 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.

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