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Nfl Data Scientist Jobs (NOW HIRING)

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

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

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

Computer Vision Engineer

$114K - $134K/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 ...

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 ...

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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$122.7K

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How much do nfl data scientist jobs pay per year?

As of Jul 24, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Engineer

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We\'re looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 2+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • 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, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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