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Flexible Nhl Data Science Jobs (NOW HIRING)

NCSU

Data Science Librarian

Raleigh, NC · On-site

The Libraries supports flexible work arrangements based on departmental and operational needs. This ... The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ...

Gopuff

Director, Data Science

Charleston, WV · Remote

Flexible PTO * Group Life Insurance * EAP through AllOne Health (formerly Carebridge) What You'll Do Leadership & Strategy * Own the end-to-end data science roadmap across Consumer, Delivery, and Ads ...

American Express

Mgr-Data Science

Manhattan, NY · On-site

$103K - $174K/yr

This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Flexible working model with hybrid, onsite or virtual arrangements depending on role and business ...

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

This flexible approach gives team members the best of both worlds: plenty of focus time along with ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

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$165K

$243.5K

How much do flexible nhl data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for flexible 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.

How much do NHL data scientists make?

NHL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the complexity of the data analysis tasks. Senior roles or those with specialized skills in machine learning and sports analytics can earn higher salaries, often exceeding $130,000. Compensation may also include bonuses or benefits related to sports organizations or analytics firms.

How does a Flexible NHL Data Scientist typically collaborate with other departments within a sports organization?

As a Flexible NHL Data Scientist, you will frequently collaborate with coaches, analysts, front office executives, and sometimes even medical staff to support decision-making processes. Your work may involve translating complex data insights into actionable strategies for player development, game tactics, or scouting. You'll often participate in cross-functional meetings, share visualizations or reports, and ensure your analyses align with the team's objectives. Flexibility in your schedule and communication style is essential, as priorities can shift rapidly based on the season or organizational needs.

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in statistics, data analysis, or related fields, along with proficiency in tools like Python, R, or SQL. Experience with sports analytics, understanding of hockey, and the ability to interpret complex data are also important, often supported by a bachelor's degree or higher in a relevant discipline.

What are common entry level NHL jobs?

Entry-level NHL jobs related to data science typically include roles such as data analyst or research assistant, focusing on player statistics, game analysis, and performance metrics. These positions often require skills in data management, statistical software, and a basic understanding of hockey analytics, with opportunities for growth into more advanced analytics or data engineering roles.

What is a Flexible NHL Data Scientist?

A Flexible NHL Data Scientist is a professional who specializes in analyzing and interpreting data related to the National Hockey League (NHL) while working in a flexible environment, such as remote or freelance positions. Their main responsibilities include gathering hockey-related data, building statistical models, and providing insights to improve team performance or fan engagement. Flexibility in this role means they may work with various teams, organizations, or projects, adapting to different data needs and schedules. This job requires strong skills in programming, statistical analysis, and knowledge of hockey analytics. Flexible NHL Data Scientists play a crucial role in helping teams make data-driven decisions both on and off the ice.

What is the difference between Flexible Nhl Data Science vs Nhl Data Analyst?

AspectFlexible Nhl Data ScienceNhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/RDegree in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, tech-focused companies, sports analytics firmsSports teams, media companies, analytics departments
Industry UsageUsed across sports analytics, tech companies, and researchPrimarily within sports organizations and media outlets
Common Search/ComparisonOften compared for roles involving advanced analytics and modelingCompared for roles focused on data reporting and visualization

Flexible Nhl Data Science involves developing predictive models, machine learning, and advanced analytics, while Nhl Data Analyst focuses on data reporting, visualization, and basic analysis. Both roles require strong analytical skills but differ in technical complexity and responsibilities within the sports industry.

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

To thrive as an NHL Data Scientist, you need strong statistical analysis, programming skills (such as Python or R), and a background in data science or a related quantitative field. Familiarity with machine learning frameworks, data visualization tools like Tableau, and experience working with sports analytics databases are typically required. Excellent problem-solving abilities, communication skills, and a passion for hockey help you translate complex data insights into actionable strategies for teams and stakeholders. These skills are vital for extracting meaningful performance insights, supporting decision-making, and gaining a competitive edge in the NHL.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $130,000 annually, depending on experience, education, and the complexity of projects. They often work with advanced analytics tools and statistical programming languages like Python or R in a sports analytics environment.
What cities are hiring for Flexible Nhl Data Science jobs? Cities with the most Flexible 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 states have the most Flexible Nhl Data Science jobs? States with the most job openings for Flexible Nhl Data Science jobs include:
Flexible Nhl Data Science jobs near you
Senior Data Scientist, Hockey Operations

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

Full-time

Posted 13 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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