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Nfl Data Scientist Jobs (NOW HIRING)

SumerSports LLC

LLMOps Platform 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 ...

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 ...

SumerSports LLC

Product Manager

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 ...

SumerSports LLC

Sr. Product Manager

$129K - $170K/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 ...

TeamWork Online

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

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

indianapoliscolts

Data Engineer

Indiana, PA

$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.

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.

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NFL Data Scientist information

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How much do nfl data scientist jobs pay per year?

As of Jul 3, 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.

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NFL Data Scientist jobs near you

LLMOps Platform Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 16 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 ML/AI Engineer on the LLMOps Platform team, you'll build the core infrastructure that powers our AI-first product organization.
You'll design, implement, and scale the systems that make it possible for product pods to develop, evaluate, and safely deploy LLM-based and multimodal applications - from RAG pipelines and model gateways to eval frameworks and cost-optimized serving.
You'll work closely with AI app engineers, full stack engineers, and the Deep Learning Research group to ensure every AI system we ship is fast, grounded, and reliable.
Responsibilities:
  • Build and operate the LLM Platform:
    • Develop model routing, prompt registry, and orchestration services for multi-model workflows.
    • Integrate external LLM APIs (OpenAI, Anthropic, Mistral) and internal finetuned models.
  • Enable fast, safe experimentation:
    • Implement automated evaluation pipelines (offline + online) with golden sets, rubrics, and regression detection.
    • Support CI/CD for prompt and model changes, with rollback and approval gates.
  • Collaborate cross-functionally:
    • Partner with product pods to instrument RAG pipelines and prompt versioning.
    • Work with deep learning and data teams to integrate structured and unstructured retrieval into LLM workflows.
  • Optimize performance and cost:
    • Profile latency, token usage, and caching strategies.
    • Build observability and monitoring for LLM calls, embeddings, and agent behaviors.
  • Ensure reliability and safety:
    • Implement guardrails (toxicity, PII filters, jailbreak detection).
    • Maintain policy enforcement and audit logging for AI usage.

Qualifications:
  • 5+ years of experience in applied ML, NLP, or ML infrastructure engineering.
  • Strong coding skills in Python and experience with frameworks like LangChain, LlamaIndex, or Haystack.
  • Solid understanding of retrieval-augmented generation (RAG), embeddings, vector databases, and evaluation methodologies.
  • Experience deploying models or AI systems in production environments (AWS, GCP, or Azure).
  • Familiarity with prompt management, LLM observability, and CI/CD automation for AI workflows.

Nice to Have:
  • Experience with model serving (vLLM, Triton, Ray Serve, KServe).
  • Understanding of LLM evaluation frameworks (OpenAI Evals, Promptfoo, Arize Phoenix, TruLens).
  • Background in sports analytics, data engineering, or multimodal (video/text) systems.
  • Exposure to Responsible AI practices (guardrails, safety evals, fairness testing).

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