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Internship Baseball Data Analytics Jobs (NOW HIRING)

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

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How much do internship baseball data analytics jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship baseball data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Baseball Data Analytics vs Baseball Data Analyst?

AspectInternship Baseball Data AnalyticsBaseball Data Analyst
CredentialsEnrolled in or recent graduate of relevant programBachelor's or higher in data science, statistics, or related field
Work EnvironmentTemporary, learning-focused, entry-levelFull-time, professional, project-driven
Employer & IndustrySports teams, analytics firms, internships at baseball organizationsMajor league teams, sports analytics companies, research firms

Internship Baseball Data Analytics positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Baseball Data Analysts are experienced professionals responsible for in-depth analysis, reporting, and strategic insights. The internship serves as a stepping stone toward a full-time analyst role in the baseball industry.

More about Internship Baseball Data Analytics jobs
What cities are hiring for Internship Baseball Data Analytics jobs? Cities with the most Internship Baseball Data Analytics job openings:
What are the most commonly searched types of Baseball Data Analytics jobs? The most popular types of Baseball Data Analytics jobs are:
What states have the most Internship Baseball Data Analytics jobs? States with the most job openings for Internship Baseball Data Analytics jobs include:
Infographic showing various Internship Baseball Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Scientist, Baseball Analytics

Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA • On-site

$75K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted 7 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 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. Operating in a dynamic and intellectually stimulating environment, the Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. 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 strong 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. Applications are encouraged from individuals with varying levels of expertise in the field.
The salary range for this position is $75,000-$100,000, 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.
  • Continuously monitor and evaluate cutting-edge analytics and research from public and academic spaces to recommend innovative ideas, methodologies, and technologies that can enhance on-field performance.

COMPETENCIES
  • 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 or master's degree 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.
  • 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.
At the Boston Red Sox we go beyond embracing diversity. We're committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.
Too often, job seekers don't apply to positions because they don't meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we've been looking for.
Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.