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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 ...

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 ...

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Football Data Analytics information

What are the key skills and qualifications needed to thrive in the Football Data Analytics position, and why are they important?

To thrive in Football Data Analytics, you need a solid understanding of statistics, data modeling, and football tactics, often backed by a degree in mathematics, statistics, data science, or sports management. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms (e.g., Opta, StatsBomb) is commonly required, as well as relevant certifications. Strong communication, problem-solving skills, and the ability to translate complex findings into actionable insights set top analysts apart. These abilities are crucial for providing valuable recommendations to coaching and management staff, ultimately helping to improve team performance and decision-making.

What is a Football Data Analytics job?

A Football Data Analytics job involves collecting, analyzing, and interpreting football-related data to provide insights that can improve team performance, player evaluation, and strategic decision-making. Analysts use statistical models, machine learning, and visualization tools to assess player metrics, match performance, and opponent strategies. These insights help coaches, scouts, and management make data-driven decisions in recruitment, tactics, and game preparation. The role requires a combination of football knowledge, data science skills, and proficiency in programming languages like Python or R.

What are typical daily responsibilities for someone working in Football Data Analytics?

In a Football Data Analytics role, your typical day might involve collecting and cleaning match data, conducting performance analyses, and preparing detailed reports for coaches or management. You could be responsible for designing predictive models to understand player efficiency, tracking team trends, or evaluating opponents using proprietary data sources. Collaboration with coaching, scouting, and medical teams is common, as you translate analytical insights into practical strategies. This role often requires juggling multiple projects at once and responding quickly to shifting team needs, especially during match preparations or transfer windows.

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What job categories do people searching Football Data Analytics jobs look for? The top searched job categories for Football Data Analytics jobs are:
Football Data Analytics jobs near you
Infographic showing various Football Data Analytics job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 3 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

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