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Internship Sports Statistician Jobs (NOW HIRING)

Griffin Media

News 9 Fall Sports Intern

Oklahoma City, OK

$14 - $18.50/hr

Learn foundational sports producing skills, including writing scripts, researching teams and stats ... This internship is available for the Fall semester. Essential Qualities: * Humble: A habit of ...

Saginaw Spirit

Internships

Saginaw, MI · On-site

$13.50 - $17.75/hr

Currently, we offer a number of Internship positions for anyone looking to start a career in sports ... Responsible for assisting with team video production and statistical complications during home and ...

Hearst

WGAL News Intern - 2026 Fall

Lancaster, PA

Interns will learn to: * Write scripts for daily sportscast. * Research team and player statistics. * Pitch story ideas to sports department * May accompany reporters on location shoots but not ...

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Internship Sports Statistician information

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How much do internship sports statistician jobs pay per year?

As of Jul 26, 2026, the average yearly pay for internship sports statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Internship Sports Statistician during a sports season?

As an Internship Sports Statistician, your primary responsibilities will include collecting, recording, and analyzing in-game and post-game statistics for one or more teams. You may also prepare reports, track player performance trends, and assist senior statisticians in providing data-driven insights to coaches and management. The role often involves working closely with other interns, data analysts, and sports professionals, offering a hands-on introduction to the field. This experience not only builds technical skills but also helps you understand how statistical analysis impacts coaching strategies and team success.

What is an Internship Sports Statistician job?

An Internship Sports Statistician collects, analyzes, and interprets sports data to support teams, broadcasters, or analysts. Responsibilities typically include recording game statistics, identifying trends, and using statistical software to generate insights. Interns may work with coaches, analysts, or media teams to improve decision-making. This role requires strong math skills, attention to detail, and knowledge of sports rules. It provides hands-on experience in sports analytics and can lead to career opportunities in the sports industry.

What are the key skills and qualifications needed to thrive in the Internship Sports Statistician position, and why are they important?

To succeed as an Internship Sports Statistician, you need a solid understanding of statistics, mathematics, and data analysis, typically demonstrated through relevant coursework or a degree in a related field. Familiarity with statistical software (such as R or SPSS), spreadsheet tools (like Excel), and basic database management is important. Strong attention to detail, analytical thinking, and effective communication skills will help you excel in the role. These competencies are essential for accurately tracking game data, contributing to insightful analysis, and collaborating with coaches or analysts for team improvement.

More about Internship Sports Statistician jobs
What cities are hiring for Internship Sports Statistician jobs? Cities with the most Internship Sports Statistician job openings:
What are the most commonly searched types of Sports Statistician jobs? The most popular types of Sports Statistician jobs are:
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Internship Sports Statistician jobs near you
Infographic showing various Internship Sports Statistician job openings in the United States as of July 2026, with employment types broken down into 8% Internship, 48% Full Time, 40% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 2 days ago

Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science