ZipRecruiter

Log In

1

Senior Football Data Science Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

... of Football. We are seeking a motivated and skilled Senior Data Scientist to join our analytics ... Experience: 4+ years of experience in data science, preferably in a sports analytics environment ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/yr

... football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and ... As we are a small company, this Senior Product Manager rolewill touch multiple facets across the ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

The team comprises senior data scientists, statisticians, and quantitative researchers who partner closely with platform, product, BI, and business teams, while maintaining clear ownership of ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying ...

next page

Showing results 1-20

All JobsFootball Data Science JobsSenior Football Data Science Jobs

Senior Football Data Science information

See salary details

$16

$56

$81

How much do senior football data science jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for senior football data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Football Data Science vs Football Data Analyst?

AspectSenior Football Data ScienceFootball Data Analyst
Required CredentialsAdvanced degrees in data science, statistics, or related fields; experience with machine learningBachelor's or master's in data analysis, sports management, or related fields
Work EnvironmentResearch-focused, involves developing models and algorithms, often in a collaborative teamData collection, reporting, and visualization, often working directly with coaching staff
Employer & Industry UsageSports teams, analytics firms, media companiesFootball clubs, sports analytics companies, media outlets

Senior Football Data Scientists typically develop complex models and algorithms to analyze player and team performance, requiring advanced technical skills. Football Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are vital in the sports industry but differ mainly in technical depth and responsibilities.

More about Senior Football Data Science jobs
What cities are hiring for Senior Football Data Science jobs? Cities with the most Senior Football Data Science job openings:
What are the most commonly searched types of Football Data Science jobs? The most popular types of Football Data Science jobs are:
What states have the most Senior Football Data Science jobs? States with the most job openings for Senior Football Data Science jobs include:
What job categories do people searching Senior Football Data Science jobs look for? The top searched job categories for Senior Football Data Science jobs are:
Senior Football Data Science jobs near you
Infographic showing various Senior Football Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 19 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