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Intern Baseball Data Science Jobs (NOW HIRING)

Ad hoc Research

Data Science Intern

Plano, TX · On-site

Data Science Intern Position Overview: We are seeking talented and driven individuals to join our internship program as a Data Science Intern. This is a unique opportunity to gain hands-on experience ...

Rundoo

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery--these are our clients. From ...

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

As of May 28, 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 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 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 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 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.

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Intern Baseball Data Science jobs near you
Data Analyst, Baseball Data Platform

Data Analyst, Baseball Data Platform

Major League Baseball

San Francisco, CA

$90K - $120K/yr

Other

Life, Retirement, PTO

Posted 29 days ago

Job description

Our Baseball Data Platform team is looking for a Senior Data Analyst. The vision of the Baseball Data Platform team is to capture the story of baseball through its data. As a Data Analyst at MLB, you will fulfill that vision with play-by-play and Statcast tracking data by supporting our customers, tracking and improving data quality, and leveraging data to deliver insights. You will partner closely with world-class software engineers, data scientists, and subject matter experts with the sports' richest and most robust data at your fingertips.

Responsibilities

  • Investigate potential data quality issues both proactively and responsively
  • Lead large data initiatives focused on strategic R&D goals, including increasing the scalability of alerting and resolving of outlier data
  • Implement high impact process changes with our support team based on internal operations data and logging
  • Achieve comprehensive expertise in Baseball Data Platform. This includes knowing the schema, data lineage, and optimal usage patterns of all critical tables (e.g., pitch-by-pitch data, tracking data, weather data, etc.).
  • Respond directly to inquiries from MLB clubs, broadcasters, and MLB leadership
  • Define and enforce high standards for data documentation, code review, and statistical best practices within the R&D data team
  • Build optimized queries and statistical reports/models, as appropriate, to identify and detect trends and present findings to MLB and Club personnel
  • Design and produce reports delivering insights
  • Collaborate with the Statcast engineering, product, data science, and content teams to produce the next generation of storytelling metrics
  • Manage user accounts, permissions, and security protocols across key systems, ensuring compliance and data security standards are met
  • Test/validate new data and metrics, and contribute input to their development
  • Serve as the team's go-to resource for complex data problems. This involves assisting teammates with debugging inefficient queries, locating obscure data points, and understanding nuanced data definitions.

Qualifications & Skills

  • 2+ years of experience with data related to baseball
  • Experience communicating professionally in a customer support role with technical and non-technical users
  • Critical thinking skills and the ability to apply analytical insights to create positive change
  • Self-motivated to seek out previously unidentified problems, resolve, and then scale them
  • Highly collaborative in nature and team-oriented
  • Proactive communicator with internal and external stakeholders
  • Substantive knowledge of SQL or similar database querying experience
  • Experience using R and/or Python for data analysis in a professional setting
  • Knowledge of data visualization software like Looker or Tableau preferred
  • Familiarity with baseball tracking systems, especially Statcast, is preferred
  • Familiarity with data pipeline tools and best practices for scheduled processing and ETL/ELT is a plus
  • Ability and desire to travel at times for baseball events and team meetings
  • A love of baseball!

Salary Range: $90,000 - $120,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

  • Competitive Benefits Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance

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