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Freelance Nfl Data Analyst Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science ...

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Procter & Gamble

Data AnalystRemote

Mason, OH

Data Analysts play a crucial role in helping businesses make informed decisions about their ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

Solomon Page

Financial Data Analyst

Manhattan, NY · On-site

$48 - $52/hr

Our client, a global media company, is looking for an Financial Data Analyst to join their team ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Solomon Page

Data Analyst - Digital Commerce

Columbus, OH · On-site

$32/hr

This freelance position will run for 6 months with potential to extend and will be hybrid in office ... Extract, analyze, and organize data from multiple sources using advanced Excel skills Required ...

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How much do freelance nfl data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for freelance nfl data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Nfl Data Analyst vs Freelance Sports Data Analyst?

AspectFreelance Nfl Data AnalystFreelance Sports Data Analyst
CredentialsKnowledge of NFL statistics, data analysis skills, possibly sports analytics certificationsBroad sports analytics knowledge, data analysis skills, certifications vary by sport
Work EnvironmentRemote freelance projects, sports organizations, sports mediaRemote freelance projects, sports teams, media outlets across various sports
Industry UsageSpecifically in NFL and American football industryAcross multiple sports including football, basketball, baseball, etc.

The main difference is that a Freelance Nfl Data Analyst specializes in NFL-specific data and statistics, working primarily within the American football industry. In contrast, a Freelance Sports Data Analyst covers multiple sports, requiring broader knowledge across different athletic disciplines. Both roles involve remote freelance work and data analysis skills, but the focus and industry scope differ.

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Freelance Nfl Data Analyst jobs near you
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA

$140K/yr

Full-time

Re-posted 11 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.