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Internship Math Sports Jobs in New York (NOW HIRING)

Royalty Analyst

New York, NY · On-site +1

$58K - $65K/yr

... Mathematics, or related degree is highly preferred * Education or internship experience within ... sports, literary, and broader entertainment industries, as well as multi-family office services for ...

Internship Math Sports information

What is an internship math sports?

Internship Math Sports positions are temporary roles designed for students or recent graduates interested in applying mathematical concepts to sports analytics or sports management. These internships typically involve analyzing sports data, creating statistical models, and assisting with research projects related to team performance, player statistics, or game strategies. Interns may work with professional sports teams, college athletic departments, or sports technology companies. The goal is to gain hands-on experience in using math to solve real-world problems in the sports industry.

What do internship math sports interns do?

In a Math Sports internship, interns are often involved in analyzing sports data, developing statistical models to evaluate player or team performance, and assisting with research for game strategy or player scouting. They may use programming languages like Python or R to handle large datasets and present findings to coaches or analysts. Collaboration with other interns and sports professionals is common, providing exposure to real-world applications of mathematical concepts in the sports industry.

What are the key skills and qualifications needed to thrive as an internship math sports?

To thrive in a Math Sports Internship, you need strong quantitative analysis, problem-solving skills, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools like Excel, R, or Python, and experience with sports analytics platforms are typically required. Effective communication, attention to detail, and teamwork help interns interpret and present data-driven insights to coaches or analysts. These skills are crucial for transforming complex data into actionable strategies that can improve team performance and decision-making in the sports industry.

What is the difference between Internship Math Sports vs Internship Data Analysis?

AspectInternship Math SportsInternship Data Analysis
Required CredentialsMathematics or Sports Science backgroundStatistics, Data Science, or related fields
Work EnvironmentSports teams, athletic organizations, sports analytics firmsCorporate, tech companies, research institutions
Industry UsageSports performance, athlete analytics, game strategyBusiness insights, market research, data-driven decision making

Internship Math Sports focuses on applying mathematical skills within sports contexts, such as athlete performance analysis and game strategy. In contrast, Internship Data Analysis involves analyzing data across various industries to inform business decisions. Both roles require strong analytical skills but differ in industry focus and application areas.

What are popular job titles related to Internship Math Sports jobs in New York?

For Internship Math Sports jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Math Sports jobs in New York look for?

The top searched job categories for Internship Math Sports jobs in New York are:

What cities in New York are hiring for Internship Math Sports jobs?

Cities in New York with the most Internship Math Sports job openings:

2026 Internship, Fall - Data Science

Red Bull

Morristown, NJ

Internship

Re-posted yesterday


Red Bull rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

17th of 52 rated marketing agency


Job description

Company Description

Red Bull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league's ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY's First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company Red Bull GmbH, after which the team is named.

RBNY's First Team is a three-time MLS Supporters' Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation's premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY's Academy is ranked among the top development organizations in the country.

Purpose of this Internship

During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments - including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.

This is an unpaid, for credit internship (proof that you will receive credit is required).

Job Description

Communication skills in an elite sporting environment

Ability to foster a data-driven culture

How to create new Key Performance Indicators across a multitude of different departments

How to create algorithms and processes in an elite sporting environment

Qualifications

Proficient in R / SQL

Proficient in Microsoft Office Suite

Experience with Web Scraping

Excellent Communicator

In a Mathematics, Data Science, or Computer Science Program

Additional Information

Because of the cyclical nature of the entertainment industry, your assigned hours may vary to reflect our needs (includes nights and weekends).

Red Bull New York is an equal opportunity employer and we will not discriminate against any employee or applicant for employment because of age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality or any other classification protected by law.


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