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Nfl Data Scientist Jobs (NOW HIRING)

SumerSports LLC

AI Application Engineer

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 ...

Eurofins

Food Scientist

Lafayette, CO · On-site

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 ...

indianapoliscolts

Data Engineer

Indiana, PA · On-site

$104K - $125K/yr

... from NFL and third-party sources. · Support the integration of data into the enterprise data ... QUALIFICATIONS · Bachelor's degree in Computer Science, Information Systems, or a related field.

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data flows from NFL and third-party sources. • Support the integration of data into the ... QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field.

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data flows from NFL and third-party sources. • Support the integration of data into the ... QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field.

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NFL Data Scientist information

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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:
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NFL Data Scientist jobs near you
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.

AI Application Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

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.
As an AI App Engineer, you'll be the hands-on builder behind the intelligent products that make Sumer Sports unique. You'll own the end-to-end development of LLM-based applications - from prompt and retrieval design to evaluation, orchestration, and user interface integration.
You'll work within a cross-functional product pod (with PMs, designers, and Eval Engineers) and partner closely with the LLMOps Platform team and Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences.
Responsibilities:
  • Design and build AI-powered user features: Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions and generate insights.
  • Build agents and workflows that combine deterministic logic with LLM reasoning.
  • Prototype and iterate fast: Use prompting, tool orchestration, and retrieval design to rapidly build and refine AI behaviors. Collaborate with Eval Engineers to build golden sets and automate quality checks before release.
  • Work closely with the LLMOps Platform team: Use shared eval frameworks, prompt registries, and model gateways. Provide feedback loops to improve platform reliability, latency, and safety.
  • Integrate with deep learning and data systems: Combine structured stats, tracking data, and video-derived features into AI-powered applications. Build APIs and UI layers that expose insights to coaches, teams, and partners.
  • Push the limits of applied AI: Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. Use AI internally to accelerate development (code generation, testing, debugging).

Qualifications:
  • 5+ years of experience as a Software Engineer, ML Engineer, or AI Developer.
  • Proficiency in Python and TypeScript/JavaScript (Node.js or React).
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Haystack).
  • Strong understanding of prompt engineering, retrieval-augmented generation, and evaluation workflows.
  • Ability to design robust backend systems integrating APIs, vector databases, and orchestration layers.
  • Curiosity and creativity to turn ambiguous problems into structured, production-quality systems.

Nice to Have:
  • Familiarity with vector databases (Pinecone, Weaviate, Qdrant) and observability tools (Langfuse, Arize Phoenix, Promptfoo).
  • Experience building multi-agent workflows or LLM tool-use systems.
  • Understanding of sports data - especially football (tracking data, player metrics, game logs).
  • Experience deploying on Vercel, AWS, or GCP with modern CI/CD.
  • Comfortable working in a pod-based, cross-functional environment with designers, PMs, and AI researchers.

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