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Nfl Experience Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

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 ...

LeatherBrainz

Blog Writer (NFL/Fantasy Football)

The ideal candidates will have a strong knowledge and enthusiasm for NFL football and/or fantasy ... Prior experience writing for a sports blog or website is preferred but not required. * Availability ...

Kansas City NFL Flag

NFL FLAG Game Day Field Manager Weekends - Friday Nights, Saturdays & Sundays | Locations Vary by ... experience. Field Managers serve as the primary on-site representative for Just Compete Sports and ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

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 ...

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Nfl Experience information

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$18.5K

$80.1K

$115K

How much do nfl experience jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nfl experience in the United States is $80,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $94,500.00 per year, depending on experience, location, and employer.

What is an NFL Experience?

An NFL Experience job typically refers to temporary or event-based roles related to the NFL Experience, an interactive fan event held during major NFL events like the Super Bowl. These jobs can include customer service, event operations, hospitality, and merchandise sales. Employees help create an engaging atmosphere for fans by assisting with activities, exhibits, and overall event logistics. Positions are usually short-term but provide valuable experience in the sports and entertainment industry.

What can I expect from the day-to-day work environment as part of the NFL Experience event staff?

As a member of the NFL Experience event staff, you can expect a dynamic and energetic environment that requires flexibility and adaptability. Your daily responsibilities may include coordinating event logistics, assisting guests, managing vendor and sponsor needs, and ensuring safety protocols are followed. You will work closely with a diverse team of staff, volunteers, and third-party partners to deliver memorable experiences for attendees. Collaboration and clear communication are vital, as priorities can shift quickly depending on event schedules and attendee needs.

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

To thrive in an NFL Experience Coordinator or Event Staff role, you need strong organizational skills, attention to detail, and a background in event management or hospitality. Familiarity with event management software, CRM systems, and venue logistics tools is typically required. Excellent interpersonal communication, problem-solving abilities, and a team-oriented attitude help candidates stand out. These skills are essential to ensure seamless event execution, positive guest interactions, and successful coordination within a fast-paced sports entertainment environment.

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The most popular types of Nfl Experience jobs are:

What job categories do people searching Nfl Experience jobs look for?

The top searched job categories for Nfl Experience jobs are:

Nfl Experience jobs near you
Infographic showing various Nfl Experience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $80,052 per year, or $38.5 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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