ZipRecruiter

Log In

1

Intern Baseball Data Science Jobs (NOW HIRING)

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

next page

Showing results 1-20

All JobsIntern Baseball Data Science Jobs

Intern Baseball Data Science information

See salary details

$8

$17

$24

How much do intern baseball data science jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for intern baseball data science in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an Intern Baseball Data Science?

An Intern Baseball Data Science is a temporary position, usually for students or recent graduates, where the intern assists professional baseball organizations in analyzing game and player data. The role typically involves working with large datasets, using statistical methods and programming languages like Python or R to uncover insights that can improve team performance or strategy. Interns may help with data collection, cleaning, and visualization, and often collaborate with coaches, scouts, and analysts. This position is designed to provide hands-on experience in sports analytics and prepare interns for a potential career in data science within the sports industry.

What types of projects and tasks can an Intern in Baseball Data Science expect to work on during their internship?

As an Intern in Baseball Data Science, you can expect to work on a variety of projects such as analyzing player performance data, building predictive models for game outcomes, and assisting with the visualization of statistical insights for coaches and scouts. Interns often clean and organize large datasets, contribute to ongoing research, and collaborate closely with data scientists, analysts, and baseball operations staff. This hands-on experience not only builds technical and analytical skills but also provides exposure to how data-driven decisions are made in a professional sports environment.

What is the difference between Intern Baseball Data Science vs Intern Sports Data Analysis?

AspectIntern Baseball Data ScienceIntern Sports Data Analysis
Required CredentialsRelevant coursework in data science, basic programming skills, knowledge of baseball statisticsCoursework in sports analytics, data analysis, programming, and sports management
Work EnvironmentBaseball teams, sports analytics firms, or sports media companiesSports organizations, media outlets, or analytics firms covering various sports
Industry UsageFocused on baseball-specific data, player performance, game strategiesBroader sports data, including multiple sports types and general performance metrics

Intern Baseball Data Science primarily concentrates on baseball-specific data analysis, requiring knowledge of baseball statistics and programming. In contrast, Intern Sports Data Analysis covers multiple sports, emphasizing broader data skills across various athletic disciplines. Both roles involve working in sports environments but differ in scope and specialization.

What are the key skills and qualifications needed to thrive as an Intern in Baseball Data Science, and why are they important?

To thrive as an Intern in Baseball Data Science, you need a strong background in statistics, data analysis, and programming, often supported by coursework in mathematics, computer science, or a related field. Familiarity with tools such as Python or R, SQL databases, and data visualization platforms like Tableau is typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this position. These skills and qualities are essential for accurately analyzing player and game data, providing actionable insights, and contributing to team decision-making.
More about Intern Baseball Data Science jobs
What cities are hiring for Intern Baseball Data Science jobs? Cities with the most Intern Baseball Data Science job openings:
What states have the most Intern Baseball Data Science jobs? States with the most job openings for Intern Baseball Data Science jobs include:
What job categories do people searching Intern Baseball Data Science jobs look for? The top searched job categories for Intern Baseball Data Science jobs are:
Intern Baseball Data Science jobs near you
Infographic showing various Intern Baseball Data Science job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 32% Part Time, 6% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Student Engineering Intern - Data Science

Student Engineering Intern - Data Science

RE/SPEC Inc.

Rapid City, SD

$16.50 - $21.50/hr

Other

Re-posted 6 days ago

Job description

Company Description

Big challenges need bold thinkers.

If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.

Job Description

RESPEC seeks a Student Engineering Intern - Data Science for our Rapid City, SD office as part of our 2026 Summer Internship Program. This position is expected to work 40 hours per week during summer 2026.

In this role, the intern will gain hands-on experience in data collection, analysis, and development of large-scale database systems to support engineering staff. The ideal candidate will have experience working with artificial intelligence and machine learning tools to query, analyze, and disposition large datasets, along with knowledge of database system design and implementation. Experience with GIS database systems is preferred.

Additional responsibilities may include developing specialized scripts and software utilities using Python, C++, VBA, or other programming languages. The selected candidate will work under the direct supervision of experienced engineering staff.

Qualifications

Required:

  • Must be working toward a Bachelor of Science or advanced degree in computer science, computer engineering, industrial, mechanical, civil, or related field
  • Demonstrated knowledge in data science, machine learning, and artificial intelligence tools, methods, and applications
  • Strong computer skills in using standard office software
  • Excellent interpersonal skills, be able to communicate effectively in writing and orally, and be self-motivated

Preferred:

  • Familiarity with CAE software, such as 3D CAD software
  • Strong working knowledge of common programming languages
Additional Information

Compensation: Compensation depends on experience. No benefits are offered except those that are required for statutory purposes.

Apply