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Full Time Nhl Data Science Jobs (NOW HIRING)

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

The Role This is an individual contributor data science role. In this role, the individual leads ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

CarMax, Inc.

Senior Manager, Data Science

Richmond, VA · On-site

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Carmax

Senior Manager, Data Science

Richmond, VA

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Eligible for Employee Referral Program The minimum and maximum full-time annual salaries for this ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Eligible for Employee Referral Program The minimum and maximum full-time annual salaries for this ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

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Full Time Nhl Data Science information

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$46K

$165K

$243.5K

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

As of Jul 14, 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 states have the most Full Time Nhl Data Science jobs? States with the most job openings for Full Time Nhl Data Science jobs include:
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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Manager - Data Science

Manager - Data Science

Michaels Stores, Inc.

Irving, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Michaels rating

4.8

Company rating: 4.8 out of 10

Based on 942 frontline employees who took The Breakroom Quiz

646th of 727 rated retailers

Job description

Support Center - Irving
The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.
Major Activities
  • Strategic Thought Partnership
  • Design and execute analytics projects to quantify impact from various marketing campaigns
  • Identify growth opportunities for the business leveraging innovation and advanced analytical techniques
  • Work with business partners to identify the challenges that needs to be quantified
  • Act as subject matter expert for all projects in which involved

Data Analytics
  • Mine extensive database in support of business insights and measurement
  • Develop well-thought, actionable insights using advanced analytics techniques
  • Determine best approach for each analysis and articulate pros/cons of methodology
  • Ensure quality of data used in analysis and all presentation material
  • Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
  • Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships
  • Manage internal client relationships and serve as the SME for analytics within the CRM function
  • Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
  • Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results
  • Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Innovation & Technology
  • Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge.
  • Implement cutting-edge tools and best practices to enhance analytics capabilities.

Staff Management & Development
  • Manage a team of data scientists
  • Mentor analysts regarding analytics best practices, methodologies, and programming techniques
  • Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned
Minimum Knowledge/Skills/Abilities
Minimum Education
  • Bachelor's degree in relevant quantitative field required, Master's preferred

Minimum Special Certifications or technical skills
  • Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
  • Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires
  • A minimum of 5 years of relevant work experience in data science for a consumer centric company
  • Proven experience partnering with business decision makers on advanced analytics topics
  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other
  • Work as a self-starter, not waiting for direction from senior leadership

Preferred Education
  • Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.
At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com and Michaels.ca. The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit www.michaels.com.
At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit www.michaels.com.
Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.
Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-800-642-4235 (1800-MICHAEL).
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