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Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core ...

The Athletic Media Company

Senior Editor, NFL (Remote)

$80K - $90K/yr

This is a senior role in a fast-paced environment contributing to comprehensive editorial oversight of our NFL coverage, using data analytics to optimize performance, and partner across the editorial ...

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As of Aug 7, 2026, the average hourly pay for nfl in the United States is $16.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.71 per hour, depending on experience, location, and employer.

What is an NFL?

An NFL job refers to any role within the National Football League, including positions for players, coaches, scouts, analysts, and front-office staff. Jobs can range from on-field roles like athletes and referees to off-field positions in marketing, finance, media, and operations. The NFL offers career opportunities at both the league and team levels, with roles varying in requirements and responsibilities.

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During the NFL season, players usually follow a structured weekly routine that includes on-field practices, team meetings, film study sessions, and strength and conditioning workouts. Game preparation is a major focus, with workouts and practice sessions tailored to upcoming opponents, while recovery, nutrition, and rest are also prioritized. Players work closely with coaches, athletic trainers, and support staff to optimize their performance and maintain their health. The week often builds up to game day, followed by recovery and analysis before starting preparations for the next opponent. This schedule demands strong time management, adaptability, and dedication to both physical and mental preparation.

What are entry-level NFL jobs?

Entry-level NFL jobs include positions such as administrative assistants, event staff, security personnel, and marketing interns. These roles typically require basic skills, a high school diploma or equivalent, and may involve working game days or events with a focus on teamwork and communication.

What are the key skills and qualifications needed to thrive in the NFL position, and why are they important?

To thrive as an NFL player, exceptional athletic ability, in-depth knowledge of football strategy, and top-tier physical fitness are essential, typically demonstrated through extensive playing experience at the collegiate level. Athletes use advanced performance training systems, video analysis tools, and may require certifications in strength and conditioning or sports safety. Strong teamwork, resilience under pressure, and effective communication with coaches and teammates are crucial soft skills. These skills ensure peak athletic performance, career longevity, and the ability to contribute successfully within a highly competitive and collaborative professional environment.

How can I get a job in the NFL?

To get a job in the NFL, candidates typically need relevant experience in sports, coaching, or management, along with strong networking and knowledge of the league's operations. Positions may require certifications, such as coaching licenses, and familiarity with sports analytics and team dynamics. Applying through official league or team websites and attending industry events can also improve chances.
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Infographic showing various Nfl job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $35,333 per year, or $17 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA

$140K/yr

Full-time

Re-posted 3 days ago

Job description

Company Description 

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

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish\'s data products.  This position is remote from the USA.

Duties:

  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.

  • Develop contextualized feature sets using sports specific domain knowledge.

  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.

  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.

  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.

  • Adhere to software engineering best practices and contribute to shared code repositories.

  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:

  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years

  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods

  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting

  • Experience with relational SQL & Python

  • Experience with source control tools such as GitHub and related CI/CD processes

  • Experience working in AWS environments etc

  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions

  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000

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.

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