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Nfl Data Scientist Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · Remote

$160K/yr

Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master's strongly preferred. * 4+ years developing and delivering effective machine learning and ...

SumerSports LLC

Sr. Football Data Scientist

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 ...

CACI International, Inc.

Data Scientist

Norfolk, VA · On-site

CACI has an immediate opening for a Data Scientist supporting the United States Fleet Forces Command (USFFC) N41 under the Naval Forces Logistics (NFL) II contract on site at our Hampton Roads ...

CACi

Data Scientist

Norfolk, VA · On-site

CACI has an immediate opening for a Data Scientist supporting the United States Fleet Forces Command (USFFC) N41 under the Naval Forces Logistics (NFL) II contract on site at our Hampton Roads ...

Conviva

Senior Data Scientist

Foster City, CA · On-site

$180K - $230K/yr

Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses ... We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms ...

SumerSports LLC

Data Engineer

$117K - $140K/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 ...

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 ...

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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:
What states have the most Nfl Data Scientist jobs? States with the most job openings for Nfl Data Scientist jobs include:
What job categories do people searching Nfl Data Scientist jobs look for? The top searched job categories for Nfl Data Scientist jobs are:
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.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 20 days ago

Job description

Company Description
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
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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