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Nfl Data Scientist Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Eurofins Scientific

Food Scientist

Lafayette, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

MLOps / ML Platform Engineer

$170K - $200K/yr

  • Medical

  • Retirement

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

Senior Deep Learning Engineer

$155K - $185K/yr

  • Medical

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Sports Computer Vision Engineer

$165K - $200K/yr

  • Medical

  • Retirement

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 ...

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.

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NFL Data Scientist information

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How much do nfl data scientist jobs pay per year?

As of Aug 17, 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 an NFL data scientist?

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 does an NFL data scientist do?

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 as an NFL data scientist?

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
Infographic showing various Nfl Data Scientist job openings in the United States as of August 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Product Analyst - Remote - USA

Lorven Technologies

Remote

Full-time

Re-posted 25 days ago

Job description

Role: Data Product Analyst
Location: Remote - USA
Target domain - Retail, CPG, Travel, Hospitality, Sports or gaming
Job description:
Overview
The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups. This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.
Key Responsibilities:
  • Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end-to-end data supply chain
  • Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear, business-friendly insights that support decision-making.
  • Elicit, document, and manage business, functional, and non-functional requirements through techniques such as interviews, workshops, process analysis, and user story creation.
  • Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams.
  • Support prioritization by assessing business value, impacts, complexity, and risk.
  • Ensure traceability of requirements from intake through development, testing, and deployment.
  • Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.
  • Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement.
  • Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.

Key Skills & Competencies
  • Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications.
  • Skilled in crafting user stories, acceptance criteria, and high-quality product and data documentation to support scalable, repeatable workflows.
  • Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use and the ability to adapt analytical and stewardship skills across a wide range of NFL use cases.
  • Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, fan, and business stakeholders.
  • Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments).
  • Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs.
  • Collaborative mindset with the ability to influence without authority and drive alignment across cross-functional teams.
  • Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action.
  • Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality.
  • Strong critical thinking and structured problem-solving, especially when interpreting incomplete, messy, or evolving datasets.
  • Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines.
  • Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products.

Qualifications
  • Bachelor's degree in information systems, business analysis, or related fields.
  • 2-5 years of experience in data analysis, business analysis, product analytics, or similar roles.
  • Proven ability to work effectively in cross-functional environments and support the delivery of data products that serve multiple stakeholders.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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