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Football Data Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

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 ...

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Football Data information

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How much do football data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for football data in the United States is $25.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Football Data vs Football Analyst?

AspectFootball DataFootball Analyst
Required CredentialsData analysis certifications, knowledge of databasesSports science or analytics degrees, experience in sports performance
Work EnvironmentData centers, offices, sports analytics firmsStadiums, sports clubs, media outlets
Employer & Industry UsageSports analytics companies, clubs, betting firmsFootball clubs, media, coaching staff
Common Search & ComparisonYesYes

Football Data focuses on collecting, managing, and analyzing raw football statistics and datasets. Football Analysts interpret this data to provide insights, scouting reports, and strategic recommendations. While Football Data involves technical data handling, Football Analysts apply that data to real-world football scenarios, making their roles complementary but distinct.

What are Football Data jobs?

Football Data jobs involve collecting, analyzing, and interpreting data related to football matches, players, teams, and leagues. Professionals in this field use statistics and advanced analytics to provide insights that help coaches, scouts, analysts, and media make informed decisions. Typical roles include data analyst, performance analyst, and data scientist, specializing in football. These jobs often require strong analytical skills, a good understanding of football, and proficiency with data analysis tools and programming languages.

What are some common challenges faced by professionals working in Football Data analysis?

Professionals in Football Data analysis often encounter challenges such as ensuring data accuracy in fast-paced match environments and translating complex statistics into actionable insights for coaches and players. The role typically involves working closely with coaching staff, scouts, and IT teams to collect, clean, and interpret large datasets. Adapting to evolving analytical tools and staying up-to-date with the latest metrics are also essential for success. Balancing the demands of live match analysis with post-match reporting can make time management a crucial skill.

What are the key skills and qualifications needed to thrive as a Football Data Analyst, and why are they important?

To thrive as a Football Data Analyst, you need strong analytical skills, a background in statistics or mathematics, and knowledge of football tactics and gameplay. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms, as well as experience with data visualization tools, is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting insights to coaches and teams. These skills are essential for providing actionable insights that improve team performance and inform strategic decisions.
More about Football Data jobs
What cities are hiring for Football Data jobs? Cities with the most Football Data job openings:
What states have the most Football Data jobs? States with the most job openings for Football Data jobs include:
What job categories do people searching Football Data jobs look for? The top searched job categories for Football Data jobs are:
Football Data jobs near you
Infographic showing various Football Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $52,836 per year, or $25.4 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 27 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