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Internship Next Gen Stats Jobs (NOW HIRING)

Neuralink

Neuroengineer, Next Gen

Fremont, CA

Team Description: The Next Gen team at Neuralink is developing the next generation of brain ... Experience with modern statistical inference and machine learning, including for machine vision ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to ... Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to ... Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others

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How much do internship next gen stats jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship next gen stats in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Next Gen Stats, and why are they important?

To thrive in a Next Gen Stats Internship, you need a solid foundation in data analysis, statistics, and a relevant field of study such as computer science or sports analytics. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with sports data APIs, is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present insights clearly. These skills are important for extracting actionable information from large datasets and supporting data-driven decision-making in sports organizations.

What types of projects and day-to-day tasks can I expect during an Internship with the Next Gen Stats team?

As an intern with the Next Gen Stats team, you can expect to work on a variety of data-centric projects, such as analyzing player tracking data, assisting with research on football analytics, and helping develop new statistical models or visualization tools. Your daily tasks may include cleaning and processing large datasets, collaborating with data scientists and engineers, and presenting analytical findings to team members. This role offers hands-on experience with innovative sports technology and provides opportunities to contribute to impactful projects that influence game broadcasts and fan engagement.

What are Internship Next Gen Stats?

Internship Next Gen Stats refers to internship positions that focus on the analysis, development, or support of advanced statistical data, often used in sports or technology industries. These internships typically involve working with large datasets, utilizing data analytics tools, and helping organizations gain deeper insights from modern data collection methods. Interns may assist with research, data visualization, and the implementation of new statistical models. The goal is to help organizations leverage next-generation statistics for improved decision-making and performance analysis.

What is the difference between Internship Next Gen Stats vs Sports Data Intern?

AspectInternship Next Gen StatsSports Data Intern
Required CredentialsEnrolled in sports analytics, data science, or related programsSimilar; often pursuing sports management, analytics, or related fields
Work EnvironmentSports analytics companies, professional teams, or media outletsSports organizations, media, or analytics firms
Industry UsageFocuses on advanced player tracking and Next Gen Stats dataGeneral sports data collection and analysis
Common Search/ComparisonInternship Next Gen Stats vs Sports Data Intern

The Internship Next Gen Stats role specializes in advanced sports tracking data, often requiring knowledge of analytics and data science. In contrast, a Sports Data Intern may handle broader sports data collection and analysis. Both roles are valuable entry points into sports analytics, but Next Gen Stats internships focus more on cutting-edge tracking technology and detailed player metrics.

More about Internship Next Gen Stats jobs
What cities are hiring for Internship Next Gen Stats jobs? Cities with the most Internship Next Gen Stats job openings:
What are the most commonly searched types of Next Gen Stats jobs? The most popular types of Next Gen Stats jobs are:
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Internship Next Gen Stats jobs near you
Infographic showing various Internship Next Gen Stats job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Seasonal Next Gen Stats Research Analyst

Seasonal Next Gen Stats Research Analyst

The National Football League

Inglewood, CA

Other

Posted 14 days ago

Job description

The NFL's Next Gen Stats team is seeking an experienced research analyst to help produce insights throughout the NFL season. This role's primary responsibility will be compiling pregame research packets and providing live in-game support for our broadcast partners to oversee integration of Next Gen Stats data into live game telecasts. Other responsibilities include supporting NFL+ and NFL.com content, assisting in the development of new statistics powered by football tracking data, and building dashboards to streamline research capabilities. Next Gen Stats Research Analysts will collaborate with other departments throughout the NFL Media organization, including the Next Gen Stats Engineering team and various content-focused groups. The ideal candidate will demonstrate deep football knowledge and acumen and a background in research, statistics and/or analytics.  Candidates must be self-motivated and work well under tight deadlines.

Responsibilities

  • Develop original storylines and analysis based on own research within large data sets
  • Deliver weekly game preview packets to broadcasters breaking down matchups and highlighting key team tendencies, strengths, and weaknesses
  • Collaborate with NFL owned & operated content verticals and third-party broadcast partners to provide them with engaging Next Gen Stats narratives and supporting data
  • Maintain and improve Next Gen Stats research dashboards
  • Recognize and anticipate league and team trends, applying appropriate statistics to create content for various platforms including social media
  • Drive development of new football analytics using Next Gen Stats
  • Ensure accuracy of data before distribution 

Required Qualifications

  • Bachelor's Degree in a related field
  • Extensive football knowledge required
  • Comfortable working with large sets of data
  • Coding skills not mandatory, but encouraged
  • Strong written and verbal communication skills
  • Ability to quickly learn new systems and tools
  • Must be able to adhere to strict deadlines and react to breaking news
  • Strong grammar skills
  • Strong attention to detail

Preferred Education and Experience:

  • Experience playing, coaching, or scouting football is a plus
  • Experience cleaning, compiling, modeling, and analyzing football data, from play-by-play to frame-level tracking data
  • Proficient in writing complex queries using SQL
  • Proficient in Python and/or R for statistical analysis
  • Experience building dashboards using BI tools such as Tableau or Quicksight

Terms / Expected Hours of Work

  • Minimum 40 hours a week
  • May work overtime as needed (including Holidays)
  • Must be available to work a flexible schedule including weekends and holidays (specifically Sundays in-season)
  • Up to 7-month seasonal employment

Salary / Pay Range

This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. 

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