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Intern Baseball Data Science Jobs (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities * Assist in designing, building, and testing machine ...

Faurecia

Data Science Intern

Auburn Hills, MI

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities Assist in designing, building, and testing machine ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Point C

OR · On-site

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and ...

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Intern Baseball Data Science information

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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.
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What cities are hiring for Intern Baseball Data Science jobs? Cities with the most Intern Baseball Data Science job openings:
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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.
Senior Data Scientist, Baseball Analytics

Senior Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA • On-site

$100K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

DEPARTMENT OVERVIEW:
Baseball Analytics is the quantitative research and data science group within Baseball Operations. We develop statistical models, machine learning algorithms, and analytical tools that support decision-making across Baseball Operations including player acquisition, player development, and player optimization. Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions.
POSITION OVERVIEW:
The Boston Red Sox seek a Senior Data Scientist for the club's Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision-making across all aspects of Baseball Operations. The Senior Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. As a senior member of the team, the Senior Data Scientist will help shape the data strategy of the department, influencing team growth and keeping the group on the cutting edge of predictive data science. This role offers a unique opportunity to apply advanced statistical techniques and data science to shape the team's future direction.
The successful candidate will possess excellent analytical skills, a deep understanding of baseball, and the ability to communicate technical concepts to non-technical audiences effectively. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience.
The salary range for this position is $100,000-$140,000, based on relevant experience and internal equity. Our full-time employees also receive a comprehensive benefits package, including healthcare, retirement plans, paid time off, and more.
RESPONSIBILITIES:
  • Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization.
  • Craft compelling written reports and data visualizations to effectively communicate complex analyses to diverse audiences, including both technical specialists and Baseball Operations leadership.
  • Partner with the Baseball Systems team to seamlessly integrate new analytical findings into team applications and proactively identify and address data quality issues.
  • Take an active role in evaluating cutting-edge analytics and research from public and academic spaces to drive innovative ideas and methodologies to help continuously improve the department.
  • Introduce creative and novel methodologies to improve existing processes and enhance departmental decision making

COMPETENCIES:
  • Advanced understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
  • Practical understanding of how to approach research questions to drive actionable insights.
  • Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way.

ADDITIONAL QUALIFICATIONS:
  • PhD in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience.
  • Expert proficiency in SQL and programming languages such as R or Python.
  • A passion for baseball and a strong desire to contribute to building a championship-winning team.

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

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