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Starting Salary Nfl Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Excellent communication skills to both technical and non-technical audiences Base salary: Starting ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

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 ... Excellent communication skills to both technical and non-technical audiences Base salary: Starting ...

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How much do starting salary nfl jobs pay per year?

As of Aug 24, 2026, the average yearly pay for starting salary nfl in the United States is $78,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What is the difference between Starting Salary NFL vs Starting Salary NBA?

AspectStarting Salary NFLStarting Salary NBA
Average Entry-Level Salary$800,000$1,500,000
Required CredentialsHigh school diploma, NFL draft eligibilityHigh school diploma, NBA draft eligibility
Work EnvironmentTeam-based, physically demanding, sports facilitiesTeam-based, sports arenas, training facilities
Industry UsageProfessional football leagues

The starting salary for NFL players is generally lower than that of NBA players due to league revenue differences and game schedules. Both roles require athletic talent and draft eligibility, but NBA salaries tend to be higher at the entry level, reflecting the leagues' revenue and popularity.

What are entry level starting salary NFL jobs?

Entry-level NFL jobs, such as administrative assistants or entry-level coaching positions, typically have starting salaries ranging from $30,000 to $50,000 annually. Salaries vary based on the role, experience, and team or organization size, with some positions offering additional benefits or bonuses.
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Infographic showing various Starting Salary Nfl job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $78,863 per year, or $37.9 per hour.

NFL Data Scientist

San Francisco, CA • On-site, Remote

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

$140K/yr

Full-time

Re-posted 21 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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