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Nhl Data Science Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Teamworks

$171K - $180K/yr

... NHL. Our Coaching and Personnel products sit at the heart of how teams identify, develop, and ... Partner with Data Science, Engineering, and the PFF, SportLogiq, Zelus, and platform data teams to ...

Teamworks

Senior Director, Product (Northern)

Eastern, KY · On-site

$171K - $180K/yr

... NHL. Our Coaching and Personnel products sit at the heart of how teams identify, develop, and ... Partner with Data Science, Engineering, and the PFF, SportLogiq, Zelus, and platform data teams to ...

Catapult Sports

Agentic AI Engineer

New York, NY

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Catapult Sports

Agentic AI Engineer

New York, NY · On-site

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Catapult Sports

Agentic AI Engineer

New York, NY

$107K - $214K/yr

Since 2006, we've helped more than 5,000 teams use data, science and technology to improve athlete health, readiness and performance. Our customers include teams across the NFL, NBA, NHL, MLS, EPL ...

Kalshi

Sports Operations Engineer

New York, NY · On-site

$76K - $102K/yr

... NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Kalshi

Sports Operations Engineer

New York, NY · On-site

$76K - $102K/yr

... NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Multicoin

Sports Operations Engineer

Manhattan, NY · On-site

$76K - $103K/yr

... NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline ... Bachelor\'s degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

AEG

Senior Manager, Lifecycle Marketing

Washington, DC · On-site

$80K - $90K/yr

... NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League ... Partner with Analytics and Data Science teams to track performance, evaluate incrementally, and ...

AEG

Director, Software Engineering

Manhattan, NY · On-site

$160K - $180K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Experience with data processing and analysis frameworks like Apache Spark Data Frame API, DFLib

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Nhl Data Science information

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$165K

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How much do nhl data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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 an NHL data science?

An NHL Data Science job involves analyzing hockey-related data to provide insights for teams, coaches, analysts, and front offices. This can include player performance evaluation, game strategy optimization, injury prediction, and salary cap management using statistical models and machine learning techniques. Data scientists in the NHL work with large datasets from tracking systems, player statistics, and historical game records to improve decision-making. Their goal is to provide actionable insights that enhance team performance, recruitment, and overall strategy.

What do NHL data science professionals do?

NHL Data Science professionals typically work on projects such as player performance analysis, injury prediction modeling, game strategy optimization, and opponent scouting through advanced analytics. Daily responsibilities often include collecting and cleaning large datasets, creating and refining predictive models, and presenting insights to coaches and management in a clear and actionable manner. Collaboration with coaching staff, scouts, and front office executives is common, as data insights are integrated into both immediate game plans and long-term team strategies. These projects directly impact training regimens, roster decisions, and on-ice tactics, making the work both dynamic and highly influential in the team’s competitive edge.

What skills and qualifications are needed for NHL data science?

To thrive in an NHL Data Science role, you need strong analytical skills, a robust background in statistics or mathematics, and experience with data modeling, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools (e.g., Tableau), and sports analytics platforms is highly valued, along with familiarity with large databases and machine learning techniques. Excellent communication skills, attention to detail, and the ability to collaborate with coaches and other team staff are important soft skills in this position. These capabilities enable data scientists to extract actionable insights from complex hockey data, support strategic decision-making, and contribute to team performance.

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Nhl Data Science jobs near you
Infographic showing various Nhl Data Science job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Trading Analyst

San Francisco, CA • On-site, Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

$65K/yr

Full-time

Re-posted 17 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description - This position is 100% Remote
Duties:
  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:
  • Minimum of 3 years of in-game play experience at an online sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate + convert odds on the fly
  • Results driven work ethic - focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:
  • Bachelor's Degree in a STEM discipline
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $65,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Trading Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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