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Nhl Data Science Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/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 ...

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

$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 ...

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How much do nhl data science jobs pay per year?

As of Jul 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 are the typical projects or analyses handled by an NHL Data Science professional?

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 is an NHL Data Science job?

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 are the key skills and qualifications needed to thrive in the Nhl Data Science position, and why are they important?

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.

More about Nhl Data Science jobs
What cities are hiring for Nhl Data Science jobs? Cities with the most 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 Nhl Data Science jobs? States with the most job openings for Nhl Data Science jobs include:
What job categories do people searching Nhl Data Science jobs look for? The top searched job categories for Nhl Data Science jobs are:
Nhl Data Science jobs near you
Infographic showing various 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.
Trading Analyst

Trading Analyst

Swish Analytics

San Francisco, CA • Remote

$65K/yr

Full-time

Re-posted 16 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.