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Nfl Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... Computer Science, Management Information Systems, Business Analytics, Economics, Mathematics ...

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... Computer Science, Management Information Systems, Business Analytics, Economics, Mathematics ...

IT Data Analyst Internship 2027

Modesto, CA · On-site

$26.50 - $28.50/hr

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... Computer Science, Management Information Systems, Business Analytics, Economics, Mathematics ...

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 ...

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 ...

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

Senior ML/Data Engineer

New York, NY · On-site

$116K - $157K/yr

Our technology is used across the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA, and many other elite ... You will work closely with data scientists, ML engineers, software engineers, and sports scientists ...

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.

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.

Data Engineer

Indianapolis, IN · On-site

$100 - $125/hr

... 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 ...

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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$37.5K

$122.7K

$196.5K

How much do nfl data scientist jobs pay per year?

As of Sep 9, 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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Infographic showing various Nfl Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 43% In-person, and 57% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Science Manager - Marketing Science

Atlanta, GA • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 hours ago


Key responsibilities

  • Lead a team of data scientists to develop and maintain marketing-related machine learning models and causal inference projects.

  • Oversee projects involving marketing data analysis, including leveraging causal inference frameworks to assess impact and drive outcomes.

  • Mentor junior team members and collaborate with senior leadership to align marketing data science efforts with company goals.


Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making. What you'll do:
  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
What you have:
  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
  • Proven experience in building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator, with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership
  • Technical Skills
    • Strong statistical proficiency
    • Python for statistical computing, model development, and data visualization
    • Advanced SQL
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks: The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 8/25/26
Benefits you'll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992