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In Nfl Jobs (NOW HIRING)

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

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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In Nfl information

What are some common challenges NFL players face when transitioning from college football to the professional league?

One of the biggest challenges NFL players encounter is adapting to the increased speed and complexity of the professional game compared to college football. The playbooks are more intricate, requiring rapid learning and mental agility. Additionally, players must adjust to the physical demands of a longer season and heightened competition for roster spots. Building strong relationships with teammates and coaches is also crucial, as NFL teams often have diverse personalities and high expectations for teamwork.

What are the key skills and qualifications needed to thrive as an NFL player?

To thrive as an NFL player, you need exceptional athletic ability, deep knowledge of football strategy, and experience at the collegiate or professional level. Mastery of playbooks, video analysis software, and strength and conditioning programs are integral to the role. Mental toughness, teamwork, and strong communication skills set standout players apart on and off the field. These skills and qualities are crucial for peak performance, effective collaboration, and long-term career success in the highly competitive NFL environment.

What is an in NFL job?

'In NFL' jobs refer to the wide range of employment opportunities within the National Football League (NFL), including positions for athletes (players), coaches, team staff, executives, medical professionals, marketing, media, and support personnel. These jobs can range from on-field roles, such as players and coaches, to off-field roles in administration, finance, communications, and operations. Working in the NFL offers a chance to be part of the professional football industry, support the teams, and contribute to the league's success both on and off the field.

What is the difference between In Nfl vs Football Player?

AspectIn NflFootball Player
Required CredentialsHigh school diploma, NFL tryouts, athletic abilityHigh school diploma, college football experience, athletic ability
Work EnvironmentProfessional stadiums, team facilities, travel schedulesCollege or high school fields, training camps, local venues
Employer/Industry UsageNational Football League teamsColleges, high schools, amateur leagues
Search & Comparison IntentProfessional NFL career, team roster, NFL salariesAmateur or college football, career development

In Nfl refers to professional football players competing in the National Football League, with specific credentials and a professional work environment. Football players can also be amateurs or college athletes, often with similar athletic backgrounds but different levels of competition and employment settings. The main difference lies in the professional status, employer, and career stage.

More about In Nfl jobs
What cities are hiring for In Nfl jobs? Cities with the most In Nfl job openings:
What states have the most In Nfl jobs? States with the most job openings for In Nfl jobs include:
Infographic showing various In Nfl job openings in the United States as of August 2026, with employment types broken down into 9% As Needed, 55% Full Time, and 36% Part Time. Highlights an 91% In-person, and 9% Hybrid job distribution.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 5 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