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Intern Baseball Data Science Jobs (NOW HIRING)

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Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

Position: Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 hourly (Minimum 20 hours per week) Location & Job Type: United States, Remote/Hybrid ...

REVOLVE

Data Science Intern

Cerritos, CA · On-site

$18.50/hr

Main purpose of the Brand Partnerships Intern role: This is an internship role for a candidate who ... out valuable data science projects * Conduct complex analysis and build models to uncover key ...

H star

Associate Software Engineer

San Francisco, CA · On-site

$90K - $120K/yr

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and ... Collaborate with leading data scientists on areas such as data analysis, machine vision, and ...

REVOLVE

Data Science Intern

Cerritos, CA · On-site

$18 - $18.50/hr

Main purpose of the Brand Partnerships Intern role: This is an internship role for a candidate who ... out valuable data science projects * Conduct complex analysis and build models to uncover key ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

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

Ardian

Data Scientist Intern

New York, NY

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

SCAN

Data Scientist, Summer Intern

Long Beach, CA · On-site

The Job This graduate intern role applies data science and advanced analytics to generate insights that improve member health, cost, experience, and operational performance. The graduate intern will ...

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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 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

DTCC Data Science Intern

Advanced Regenerative Manufacturing Institute Inc

Manchester, NH

Other

Posted 4 hours ago

Job description

This internship is funded through a grant program with specific eligibility requirements. In accordance with the grant terms, applicants must be currently enrolled students at Southern New Hampshire University. We encourage all eligible students to apply.

Overview

The Advanced Regenerative Manufacturing Institute (ARMl) I BioFabUSA is a member-based non-profit organization founded to build the biofabrication industry and transform the future of healthcare. ARMI provides wrap-around commercialization services to companies seeking to bring life-saving regenerative technologies to patients, as well as to innovators seeking to commercialize enabling technologies that will grow the industry's impact.

The Impact That You Will Make

The Deep Tissue Characterization Center (DTCC) is seeking an intern to work within the Data Science Team. This internship offers the opportunity to contribute to several foundational initiatives that improve how our organization understands, requests, and works with data. Interns will engage with both technical development and strategic documentation projects that serve cross-functional needs.

Key responsibilities include helping expand internal data resources, building documentation that supports consistent analysis practices, and assisting in tool verification and process improvement. The intern will have opportunities to work with data workflows, contribute to internal analytics tools, and help develop resources that support data literacy across the organization. Depending on the workload, there may be opportunities to contribute to early-stage machine learning projects, such as developing models to classify data patterns or assisting with predictive analytics in the biomanufacturing space for internal research applications.

Your Role

  • Assist in verifying and testing internal analytics tools and dashboards
  • Contribute to internal documentation and reference materials
  • Support the development of standardized analysis workflows
  • Assist with dataset preparation, exploratory analysis, and reporting
  • Participate in agile team practices including Jira task management, GitLab version control, and sprint planning
  • Join team meetings, trainings, and collaborative activities
  • Depending on workload and availability, contribute to coding tasks for internal analysis projects that may incorporate statistical modeling or machine learning techniques.

Your Skills and Experiences

  • Effective interpersonal, written, and verbal communication skills
  • Strong commitment, initiative, and perseverance
  • Experience in coding languages such as Python, PHP, SQL, or R
  • Field of study in computer science, data science, statistics, or a related discipline
  • Familiarity in data analytics, including data cleaning, visualization, and interpretation
  • Exposure to machine learning concepts or frameworks
  • Strong organizational skills and ability to multi-task
  • Experience working in a fast-paced, dynamic, collaborative team environment is a plus, but not required
  • Ability to work independently and manage competing priorities
  • Team-oriented mindset with collaborative cross-functional approach
  • Commitment to quality, scientific integrity, and company mission
  • Strong analytical and proactive problem-solving skills with a strong attention to detail

By applying, I understand that any offer of employment is contingent upon the successful completion of a background check, in accordance with applicable laws.

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