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Baseball Data Science Jobs in Arizona (NOW HIRING)

Create and build upon current data visualizations and reporting structures to help coaches/staff to ... Familiarity with performance technology and baseball-specific tools preferred (force platforms ...

Create and build upon current data visualizations and reporting structures to help coaches/staff to ... Familiarity with performance technology and baseball-specific tools preferred (force platforms ...

Create and build upon current data visualizations and reporting structures to help coaches/staff to ... Familiarity with performance technology and baseball-specific tools preferred (force platforms ...

Baseball Data Science information

How do baseball data scientists typically collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

What are the key skills and qualifications needed to thrive as a Baseball Data Scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.
What are the most commonly searched types of Baseball Data Science jobs in Arizona? The most popular types of Baseball Data Science jobs in Arizona are:
What are popular job titles related to Baseball Data Science jobs in Arizona? For Baseball Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Baseball Data Science jobs in Arizona look for? The top searched job categories for Baseball Data Science jobs in Arizona are:
What cities in Arizona are hiring for Baseball Data Science jobs? Cities in Arizona with the most Baseball Data Science job openings:
Infographic showing various Baseball Data Science job openings in Arizona as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Baseball Operations R&D Intern

Baseball Operations R&D Intern

San Francisco Giants

Oracle, AZ • On-site

$25 - $30/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title: Baseball Operations R&D Intern
Department: Baseball Operations
Location:  San Francisco, CA
Status: Part-Time; Non-Exempt
 
Position Summary:
The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.
 
Position Responsibilities:
        Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts.
        Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio.
        Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops.
        Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops.
        Own small-scale (or larger!) research projects and see them through to completion.
        Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.
 
Skills and Qualifications:
        Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math.
        Fluency in SQL and at least one general-purpose programming language (e.g. Python, R).
        Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results.
        Passion and curiosity for baseball analytics.
        Strong work ethic with a voracious appetite to learn on the fly.
        Positive attitude and willingness to contribute to team culture.
        Experience with machine learning and/or computer vision is a plus.
  
At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00. 
 
At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.
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