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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 ...

Underdog

Trading Assistant

OR · Remote

$20/hr

Enter player and game stats * Track games we offer in the app to ensure entries are paid with ... A sports fanatic (NFL, NBA, NHL, MLB, EPL, Golf, UFC, Nascar, F1, eSports & more) who is ...

SumerSports LLC

Sr. Football Data Scientist

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and ...

SumerSports LLC

AI Application Engineer

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Combine structured stats, tracking data, and video-derived features into AI-powered applications.

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2 ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/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 ...

PrizePicks

Game Operations - Trading Analyst

Atlanta, GA · On-site +1

$55K - $65K/yr

NFL, NBA, MLB, NHL, CBB, and CFB. * Monitor player projections throughout the day and track any key ... A bachelor's degree in a related field (statistics, computer science, engineering, analytics ...

PrizePicks

BI Analyst, Acquisition Marketing

Atlanta, GA · On-site +1

$85K - $120K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer ...

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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 May 30, 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 are the key skills and qualifications needed to thrive as a Remote NFL Statistician, and why are they important?

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 are Remote NFL Statisticians?

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 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.

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Remote Nfl Statistician jobs near you
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 25 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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