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In Nfl Statistics Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

SumerSports LLC

Sr. Football Data Scientist

... in providing an innovative suite of products for football fans and NFL clubs. We are a collection ... Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and ...

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How much do in nfl statistics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for in nfl statistics 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 the difference between In Nfl Statistics vs NFL Data Analyst?

AspectIn Nfl StatisticsNFL Data Analyst
Required CredentialsKnowledge of NFL stats, basic data interpretationDegree in statistics, data analysis, or related field
Work EnvironmentSports media, broadcasting, fan engagementTeam organizations, sports analytics firms
Industry UsagePublicly available stats, fan-focused contentStrategic decision-making, player evaluation

In Nfl Statistics primarily involves collecting, presenting, and interpreting NFL game data for fans and media. NFL Data Analysts perform in-depth analysis using advanced tools to support team strategies and player assessments. While In Nfl Statistics focuses on accessible data, NFL Data Analysts require specialized skills and education for complex analysis.

How to become an NFL statistician?

To become an NFL statistician, you typically need a strong background in sports statistics, data analysis, or related fields, often with a degree in statistics, mathematics, or sports management. Experience with statistical software, knowledge of football rules, and attention to detail are important, and some positions may require networking within the sports industry or internships to gain relevant experience.

What do NFL statisticians do?

NFL statisticians collect, record, and analyze game data such as player performance, team statistics, and game outcomes. They use specialized software and tools to ensure accurate and timely data entry, which is used for game analysis, reporting, and broadcasting. Attention to detail and knowledge of football rules are essential for this role.
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What cities are hiring for In Nfl Statistics jobs? Cities with the most In Nfl Statistics job openings:
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In Nfl Statistics jobs near you
Infographic showing various In Nfl Statistics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% 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 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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