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Nhl Data Science Jobs in California (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

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

$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

$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 · 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 ...

Gallo

Quality Engineer 1

Modesto, CA · On-site

$64K - $96K/yr

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... Bachelor's degree Food Science, Enology, Biochemistry, Chemistry, Microbiology, or Biology plus 2 ...

Gallo

Associate Finance Manager

Modesto, CA · On-site +1

$113K - $170K/yr

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

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All JobsNhl Data Science JobsNhl Data Science Jobs in California

Nhl Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do nhl data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for nhl data science in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Nhl Data Science jobs in California? The most popular types of Nhl Data Science jobs in California are:
What are popular job titles related to Nhl Data Science jobs in California? For Nhl Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Nhl Data Science jobs in California look for? The top searched job categories for Nhl Data Science jobs in California are:
Nhl Data Science jobs near you
Infographic showing various Nhl Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 22 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
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - 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 Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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