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Nfl Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

... NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with ... We are seeking a Data Scientist III to join our growing Data Science organization on our newly ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

... NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with ... We are seeking a Data Scientist III to join our growing Data Science organization on our newly ...

Data Engineer

$117K - $140K/yr

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 ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Lead and grow a high-performing team of data scientists and analysts focused on market creation and ...

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2 ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2 ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the ...

Writes reports, formulas, data and communication that is thorough and ready for the client with ... Travels to various NFL and client locations to support studies and projects. * Travels to technical ...

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 ...

Computer Vision Engineer

$114K - $134K/yr

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 ...

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 ...

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NFL Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do nfl data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nfl data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a NFL Data Scientist job?

An NFL Data Scientist analyzes football-related data to provide insights that help teams, analysts, and decision-makers improve performance, strategy, and player evaluation. They work with large datasets, applying statistical modeling, machine learning, and data visualization techniques. Their role can span various domains, including player tracking, game strategy, injury prevention, and fan engagement.

What are some typical projects or responsibilities an NFL Data Scientist may work on during the season?

As an NFL Data Scientist, you may analyze player performance metrics, develop predictive models for game outcomes or player health, and create visual reports to present insights to coaching staff and executives. Your responsibilities often include collaborating with football operations, medical teams, and scouting departments to inform roster moves, injury prevention strategies, and opponent analysis. During the season, you might update models to incorporate live game data, support video analysis, and contribute to post-game reviews. Projects can range from developing custom dashboards for real-time decision-making to researching new analytical methods to give the team a competitive edge.

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

To thrive as an NFL Data Scientist, you need a solid background in statistics, machine learning, and programming—usually backed by a degree in data science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as expertise in sports analytics software, are highly valued; relevant certifications like Certified Analytics Professional (CAP) can enhance your profile. Strong problem-solving skills, clear communication, and the ability to work collaboratively with coaches, scouts, and other analysts are essential soft skills. These abilities enable you to extract actionable insights from complex data, directly supporting team strategies and business decisions in a highly competitive sports environment.

More about NFL Data Scientist jobs
What cities are hiring for Nfl Data Scientist jobs? Cities with the most Nfl Data Scientist job openings:
What are the most commonly searched types of Nfl Data Scientist jobs? The most popular types of Nfl Data Scientist jobs are:
What states have the most Nfl Data Scientist jobs? States with the most job openings for Nfl Data Scientist jobs include:
Infographic showing various Nfl Data Scientist job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Medical, Retirement

Posted 20 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