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Live In Nhl Data Science Jobs (NOW HIRING)

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will ... live measurement * Ensure stakeholders can distinguish correlation from causation in analytical ...

Live In Caregiver

Rocky Hill, CT ยท On-site

$17/hr

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Live In Caregiver

Manchester, CT ยท On-site

$17/hr

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Data Science Tutor

Doral, FL ยท Remote

$18 - $40/hr

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Data Science Tutor

PA ยท Remote

$18 - $40/hr

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Data Science Tutor

Omaha, NE ยท Remote

$18 - $40/hr

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Data Science Tutor

Mckinney, TX ยท Remote

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Data Science Tutor

VA ยท Remote

$18 - $40/hr

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Data Science Tutor

Detroit, MI ยท Remote

$18 - $40/hr

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Data Science Tutor

Miami Beach, FL ยท Remote

$18 - $40/hr

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Data Science Tutor

Elizabeth, NJ ยท Remote

$18 - $40/hr

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Data Science Tutor

IL ยท Remote

$18 - $40/hr

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Data Science Tutor

Irving, TX ยท Remote

$18 - $40/hr

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Data Science Tutor

Highland Park, IL ยท Remote

$18 - $40/hr

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Data Science Tutor

Fort Pierce, FL ยท Remote

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Live In Nhl Data Science information

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R and experience with sports analytics tools. Knowledge of hockey rules, game strategies, and access to relevant data sources are also important. Gaining experience through internships or projects and staying updated on industry trends can improve job prospects.

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 level of responsibility. Salaries can vary based on the organization, location, and whether the role involves advanced analytics, machine learning, or sports-specific data analysis tools.

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 the data analysis tasks. Salaries can vary based on the organization, location, and whether the role involves advanced skills like machine learning or statistical modeling.

How much do NHL data engineers make?

NHL data engineers typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. They work with large datasets, statistical tools, and programming languages like Python or R to analyze hockey data and support team strategies.

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What cities are hiring for Live In Nhl Data Science jobs? Cities with the most Live In 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 Live In Nhl Data Science jobs? States with the most job openings for Live In Nhl Data Science jobs include:

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL โ€ข 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.