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Intern Baseball Data Science Jobs in Silver Spring, MD

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

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All JobsIntern Baseball Data Science JobsIntern Baseball Data Science Jobs in Silver Spring, MD

Intern Baseball Data Science information

See Silver Spring, MD salary details

$9

$17

$25

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

As of Jul 3, 2026, the average hourly pay for intern baseball data science in Silver Spring, MD is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 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.
What are popular job titles related to Intern Baseball Data Science jobs in Silver Spring, MD? For Intern Baseball Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Intern Baseball Data Science jobs in Silver Spring, MD look for? The top searched job categories for Intern Baseball Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Intern Baseball Data Science jobs? Cities near Silver Spring, MD with the most Intern Baseball Data Science job openings:
Intern Baseball Data Science jobs near you
Infographic showing various Intern Baseball Data Science job openings in Silver Spring, MD as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,633 per year, or $17.6 per hour.
Software Engineering Intern

Software Engineering Intern

International Logic Systems, Inc.

Fairfax, VA • Hybrid

Other

Posted 14 days ago

Job description

Overview

Software Engineering Intern (ILS Team)

Do you enjoy building software in a collaborative, fast-paced environment? Are you excited about solving ambitious technical challenges and creating impactful solutions?

We're looking for Junior and Senior Computer Science students to join our ILS engineering team as Software Engineering Interns.

Location: Hybrid - 2 days onsite at our headquarters in Fairfax, VA

In this role, you'll:

  • Collaborate with experienced engineers on real-world software projects
  • Contribute to the design, development, and testing of innovative solutions
  • Work with modern tools and technologies in a supportive team environment

What we're looking for:

  • Currently pursuing a BS in Computer Science (or related field)
  • Hands-on experience with one or more: Python, C++, Java, or MATLAB
  • Strong problem-solving skills and a willingness to learn
  • Ability to work well in a team setting

Why join us?

  • Work on meaningful, technically challenging projects
  • Learn from a team passionate about engineering excellence
  • Gain real-world experience in a collaborative and innovative environment

As a member of our team you will...

  • Build next-generation solutions to help tackle complex issues.
  • Engage in end-to-end software engineering processes.
  • Be part of high-caliber teams of engineers focused on designing, creating, and fine-tuning simulation platforms that assess and validate the latest algorithms and systems for autonomy.
  • Contribute to multidisciplinary teams, and actively participate in software design evaluations, code reviews, and test strategy planning.

Specifically, we are seeking an Intern that has been focused in the following areas of study and hands-on demonstrated experience to assist the ILS team:

  • Computer Science / Information Technology
  • Artificial Intelligence (AI)
  • Data Science
  • Data Analysis
  • Natural Language Processing
  • Automation Testing (i.e. Selenium)
Responsibilities

You meet our minimum qualifications for the job if you...

  • Are working towards a Bachelor of Science in Computer Science, Computer Engineering, or a related technical field.
  • Have classroom experience in or knowledge of software design patterns in either C++, Python, Java, or MATLAB.
  • Have a minimum 3.0 GPA on a 4.0 Scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Have pursued technical projects and extracurricular activities outside of the classroom. Specifically, AI project experience.
Qualifications

You'll go above and beyond our minimum requirements if you...

  • Possess classroom or related experience in working closely with autonomous systems and machine learning algorithms.
  • Have classroom or professional experience in developing with middleware or containerization software tools, such as Data Distribution Service, ZeroMQ, Docker, or Kubernetes.
  • Hold classroom experience in data science and statistical analysis.
  • Have experience in a modern software development environment, such as Agile or Kanban, that includes automated testing (Selenium), continuous integration and deployment, and DevSecOps protocols.
Employment Type: OTHER

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