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Intern Baseball Data Science Jobs in Iowa (NOW HIRING)

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Job Type Internship Description Feed Energy is seeking a motivated and curious AI & Data Intern to ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA

$25/hr

Description Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

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Intern Baseball Data Science information

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 do interns in baseball data science do?

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 skills and qualifications are needed to thrive as an intern in baseball data science?

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 Iowa?

For Intern Baseball Data Science jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Intern Baseball Data Science jobs in Iowa look for?

The top searched job categories for Intern Baseball Data Science jobs in Iowa are:

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Cities in Iowa with the most Intern Baseball Data Science job openings:

Intern Baseball Data Science jobs near you

AI & Data Intern

Riverhead Resources

Pleasant Hill, IA • On-site

$25/hr

Full-time, Internship

Posted 5 days ago

Job description

Job Type
Internship
Description
Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to support business decisions and operational efficiency. The ideal candidate is eager to learn, technically inclined, and excited about applying data-driven insights in a real-world environment. Success in this role means making a measurable impact - for example, reducing reporting turnaround times by 20% or improving data accuracy rates above 95%. Depending on timing and data infrastructure, top performers may have the opportunity to contribute to building an internal data chatbot that enables business users to query our data warehouse using natural language.
Key Responsibilities
  • Assist in collecting, cleaning, and organizing structured and unstructured data from multiple sources
  • Support the development and maintenance of dashboards, reports, and visualizations
  • Work with IT and business teams to identify opportunities for data analysis and automation
  • Participate in AI-focused initiatives such as:
    • Exploring machine learning models
    • Assisting with predictive analytics projects
    • Testing and validating AI solutions
  • Help design and document data pipelines and workflows
  • Conduct exploratory data analysis (EDA) to identify trends and insights
  • Assist with data governance, quality checks, and security practices
  • Create documentation and present findings to stakeholders

Learning Opportunities
  • Gain real-world experience in enterprise data environments
  • Work with modern AI and analytics tools
  • Develop business acumen by supporting cross-functional teams
  • Receive mentorship from IT and data professionals

Duration & Compensation
  • Duration: 10-12 weeks
  • Compensation: Paid, $25/hr

Requirements
Required Qualifications
  • Currently pursuing a degree or recent graduate in:
    • Computer Science
    • Data Science
    • Analytics
    • Mathematics
    • Computer Engineering
  • Strong technical skills in the following areas:
    • Proficiency in Python (including pandas and data manipulation libraries) and/or R
    • SQL and relational databases (e.g., ability to write queries with JOINs, aggregations, and filters to pull and transform data)
    • Data analysis concepts
  • Familiarity with Microsoft Excel and/or Power BI, Tableau, or similar tools
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

Preferred Qualifications
  • Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)
  • Experience with data visualization tools (Power BI preferred)
  • Familiarity with Claude and Agentic AI
  • Coursework or projects related to data analytics or AI

Key Competencies
  • Curiosity and willingness to learn
  • Attention to detail
  • Critical thinking
  • Adaptability and initiative

How to Apply Submit your resume along with any relevant projects, GitHub links, or portfolios demonstrating data or AI work. Strong weight will be placed on portfolios and project submissions - we want to see what you've built and contributed to. Be prepared to discuss your projects in technical detail during the interview.
Salary Description
$25.00 / hr

Apply