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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

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/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

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

As of Jun 12, 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 33% Internship, 40% Full Time, and 27% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $36,633 per year, or $17.6 per hour.
Software Engineering Intern

Software Engineering Intern

Social Impact, Inc.

Washington, DC • Hybrid

Other

Posted 24 days ago

Job description

Software Engineering Intern

Location: Washington DC Metro Area (Hybrid / Occasional Onsite Meetups)
Type: Internship

We are an early-stage technology startup building a next-generation enterprise platform focused on workflow management, analytics, AI-assisted decision support, and adaptive reporting systems.

We are looking for highly motivated Software Engineering Interns who are interested in working in a fast-paced startup environment and contributing to real-world product development.

Responsibilities

  • Assist in development of full-stack web applications
  • Build and enhance frontend and backend components
  • Support development of APIs, workflows, and data processing modules
  • Participate in architecture discussions and technical problem solving
  • Collaborate with engineering leadership and product teams
  • Contribute to testing, debugging, and documentation

Preferred Technical Skills

  • Node.js
  • React
  • Python
  • PostgreSQL
  • REST APIs
  • Basic understanding of AI/Data Analytics concepts
  • Familiarity with Git/GitHub

Preferred Qualifications

  • Pursuing a degree in Computer Science, Software Engineering, Data Science, or related field
  • Strong problem-solving mindset
  • Ability to work independently and collaboratively
  • Interest in scalable enterprise systems and modern web technologies

Additional Requirements

  • Must be a U.S. Citizen
  • Candidates in or around the Washington DC area preferred
  • Available for occasional onsite collaboration sessions
  • Selected candidates will be subject to background verification
Employment Type: Intern

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