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Intern Baseball Data Science Jobs in Phoenix, AZ

Milwaukee Brewers

Intern - Athlete Availability

Phoenix, AZ · On-site

$14 - $18.50/hr

  • PTO

... Baseball Club's application of sport science and athlete monitoring. The Intern will assist High ... Support data collection for athlete assessments including, but not limited to, GPS, force plates ...

Milwaukee Brewers

Intern - Athlete Availability

Phoenix, AZ · On-site

$14 - $18.50/hr

  • PTO

... Baseball Club's application of sport science and athlete monitoring. The Intern will assist High ... Support data collection for athlete assessments including, but not limited to, GPS, force plates ...

ASM

Talent Insights Intern (Spring 2027)

Phoenix, AZ

$15 - $19.75/hr

Currently pursuing a Master's degree in Data Analytics, Data Science, Business Analytics, AI/ML ... As an intern, you will gain hands-on experience by working on industry-relevant workforce ...

PNC Bank

Technology Undergraduate Intern

Phoenix, AZ

$18 - $35/hr

As a Technology Summer Intern within PNC's Technology organization, you will be based in Pittsburgh ... Developer, Data Analytics, Data Science), sophomore or junior status, Minimum GPA 3.0.

HealthCorps

Monitoring & Evaluation Intern

Phoenix, AZ · Remote

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

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All JobsIntern Baseball Data Science JobsIntern Baseball Data Science Jobs in Phoenix, AZ

Intern Baseball Data Science information

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$24

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

As of Aug 14, 2026, the average hourly pay for intern baseball data science in Phoenix, AZ is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 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 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 Phoenix, AZ?

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What job categories do people searching Intern Baseball Data Science jobs in Phoenix, AZ look for?

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What cities near Phoenix, AZ are hiring for Intern Baseball Data Science jobs?

Cities near Phoenix, AZ with the most Intern Baseball Data Science job openings:

Intern Baseball Data Science jobs near you
Infographic showing various Intern Baseball Data Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 66% In-person, 23% Hybrid, and 11% Remote job distribution, with an average salary of $35,184 per year, or $16.9 per hour.

Data Scientist Intern - In Office, Scottsdale, AZ only

Sandhills Global, Inc.

Scottsdale, AZ • On-site

Full-time, Internship

Re-posted 19 days ago

Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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