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Remote Nfl Statistician Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ...

SumerSports LLC

Data Engineer

$160K - $190K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Develop retrieval pipelines (RAG, vector search) over structured stats and unstructured sources ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Ideate, develop, and improve machine learning and statistical models that drive Swish's core ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Penn Interactive

News Editor

Every NFL team's biggest question mark entering training camp; 10 rising soccer talents ready for ... About You * Extensive knowledge of major sports, including: teams, players, stats, history ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$75K/yr

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong mathematical, statistical, and/or ...

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Remote Nfl Statistician information

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$40.5K

$83.7K

$117K

How much do remote nfl statistician jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote nfl statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a remote NFL statistician?

Remote NFL Statisticians are professionals who collect, analyze, and interpret statistical data related to NFL games and players while working from a remote location. Their work involves tracking game events, compiling player and team stats, and ensuring accurate data reporting for media, teams, and fantasy sports platforms. They use specialized software to input and verify real-time stats during games and may also contribute to post-game analysis. Attention to detail and a deep understanding of football rules and terminology are essential for this role.

What are the key skills and qualifications needed to thrive as a remote NFL statistician?

To thrive as a Remote NFL Statistician, you need a strong background in mathematics, statistics, and sports analytics, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data analysis software (e.g., Excel, R, Python), sports databases, and possibly certification in sports analytics tools is typical. Attention to detail, effective communication, and the ability to work independently under tight deadlines are crucial soft skills. These competencies ensure accurate data collection and analysis, supporting reliable insights and decision-making for teams, media, or fantasy sports clients.

What are some common challenges faced by remote NFL statisticians, and how can they be addressed?

Remote NFL statisticians often face challenges such as ensuring real-time data accuracy, managing communication with on-site teams, and navigating time zone differences. To address these, statisticians should establish clear protocols for reporting and verifying statistics, utilize reliable communication tools to stay connected with colleagues, and maintain organized schedules to coordinate with live games. Adapting to rapidly changing game situations and maintaining focus during high-pressure moments are also key, so strong attention to detail and proactive collaboration with the data team are essential.

What is the difference between Remote Nfl Statistician vs Remote Sports Data Analyst?

AspectRemote Nfl StatisticianRemote Sports Data Analyst
CredentialsKnowledge of NFL stats, data analysis skillsDegree in sports management, statistics, or related field
Work EnvironmentRemote, sports organizations, data companiesRemote, sports teams, analytics firms
Industry UsageSpecifically in NFL and football analyticsBroader sports industry including multiple sports
Search & Comparison IntentUnderstanding roles within NFL data analysisExploring sports data careers in general

The main difference between a Remote Nfl Statistician and a Remote Sports Data Analyst lies in their focus. The NFL Statistician specializes in football-specific data, often requiring detailed knowledge of NFL stats and game analysis. In contrast, the Sports Data Analyst works across various sports, applying broader data analysis skills. Both roles may require similar analytical skills and remote work setups, but their industry focus and specific expertise differ.

How much do remote NFL statisticians make?

Remote NFL statisticians typically earn between $20 and $50 per hour, depending on experience, expertise, and the complexity of the data analysis required. Some may work on a freelance basis or as part of a team, with annual salaries ranging from $40,000 to $100,000 for full-time roles. Compensation often reflects skills in data analysis, sports knowledge, and proficiency with statistical tools.

How to become a remote NFL statistician?

To become a remote NFL statistician, you should have strong knowledge of football rules and statistics, proficiency with data analysis tools, and experience in sports analytics. Building a portfolio of work or certifications in sports data can improve your chances, and many roles require self-motivation and good communication skills for remote work.
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Remote Nfl Statistician jobs near you
Infographic showing various Remote Nfl Statistician job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 24 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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