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Remote Nfl Player Development Jobs (NOW HIRING)

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Model Development and Analysis: Build and implement analytical football models, providing valuable ...

Your role as a highly motivated self-starter and team player will be pivotal. With a focus on both ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Your role as a highly motivated self-starter and team player will be pivotal. With a focus on both ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Your role as a highly motivated self-starter and team player will be pivotal. With a focus on both ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Your role as a highly motivated self-starter and team player will be pivotal. With a focus on both ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Your role as a highly motivated self-starter and team player will be pivotal. With a focus on both ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

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Remote Nfl Player Development information

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$18.5K

$89.8K

$156K

How much do remote nfl player development jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote nfl player development in the United States is $89,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $131,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nfl Player Development vs Remote Football Coach?

AspectRemote Nfl Player DevelopmentRemote Football Coach
CredentialsSports certifications, NFL training experienceCoaching certifications, sports management degrees
Work EnvironmentIndividual athlete focus, virtual training sessionsTeam-based coaching, virtual or on-site sessions
Industry UsagePlayer skill enhancement, NFL athlete prepTeam strategy, game planning, player development

Remote Nfl Player Development primarily focuses on individual athlete training and skill improvement tailored for NFL prospects, often working directly with players. Remote Football Coach may involve coaching teams or groups, emphasizing strategy and game tactics. While both roles require sports knowledge and certifications, Remote Nfl Player Development is more specialized in athlete performance enhancement, whereas Remote Football Coach covers broader coaching responsibilities.

More about Remote Nfl Player Development jobs
What cities are hiring for Remote Nfl Player Development jobs? Cities with the most Remote Nfl Player Development job openings:
What are the most commonly searched types of Nfl Player Development jobs? The most popular types of Nfl Player Development jobs are:
What states have the most Remote Nfl Player Development jobs? States with the most job openings for Remote Nfl Player Development jobs include:
Infographic showing various Remote Nfl Player Development job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $89,842 per year, or $43.2 per hour.

Full-time

Medical, Retirement

Posted 15 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