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Freelance Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

SumerSports LLC

Product Manager

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/yr

Position Summary We're a small but mighty group of Product Managers that work with our in-house experts and customers to build this next generation of Football Data Analytics and AI experiences for ...

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 ...

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Freelance Football Data Analytics information

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$14

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$132

How much do freelance football data analytics jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for freelance football data analytics in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Football Data Analytics vs Freelance Sports Data Analyst?

AspectFreelance Football Data AnalyticsFreelance Sports Data Analyst
CredentialsKnowledge of football statistics, data analysis tools, and sports analyticsBroader sports knowledge, data analysis skills, and familiarity with multiple sports
Work EnvironmentRemote freelance projects, sports clubs, or analytics firms focused on footballRemote or on-site, working with various sports organizations or media outlets
Industry UsagePrimarily in football clubs, media, and betting companiesAcross multiple sports industries, including football, basketball, and baseball

Freelance Football Data Analytics specializes in football-specific data analysis, while Freelance Sports Data Analyst covers multiple sports. The former focuses on football metrics and analytics tools, whereas the latter requires broader sports knowledge. Both roles often work remotely and serve sports organizations, but their industry focus differs.

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What cities are hiring for Freelance Football Data Analytics jobs? Cities with the most Freelance Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
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Freelance Football Data Analytics jobs near you
Infographic showing various Freelance Football Data Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 12 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply