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Baseball Engineering Jobs in Pennsylvania (NOW HIRING)

Thomas Jefferson University, home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce, dates back to 1824 and today comprises 10 ...

... baseball and softball programming. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES The essential functions include, but are not limited to: LEADERSHIP AND STAFF SUPERVISION * Be the primary contact and ...

Program Manager

Ambler, PA · On-site

$50K - $60K/yr

... baseball and softball programming. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES The essential functions include, but are not limited to: LEADERSHIP AND STAFF SUPERVISION * Be the primary contact and ...

Program Director

Manchester, PA · On-site

$20 - $25/hr

Job Summary The Program Director works alongside the franchise owner (Area Developer) to Help Kids ... baseball, volleyball, and lacrosse. To achieve our mission of helping kids succeed in life through ...

Plan, organize, and lead dynamic youth programming, including sport-specific training, baseball programs, and other activities that build skills, confidence, and teamwork. * Coordinate and manage ...

... of youth baseball and softball to teach life lessons that build stronger individuals and ... NET Software Developer who has application development expertise, as well as analytical and problem ...

Activities Director

Myerstown, PA · On-site

$18.25 - $25/hr

Programming shall include evening, weekend, holiday, indoor and outdoor activities. All programs ... Hand out Resident Council Minutes and Phillies Baseball Schedules * Clean out Closets and supply ...

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Baseball Engineering information

See Pennsylvania salary details

$9

$19

$30

How much do baseball engineering jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for baseball engineering in Pennsylvania is $19.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $20.24 per hour, depending on experience, location, and employer.

What is a baseball engineering?

A Baseball Engineering job involves applying engineering principles and data analysis to enhance player performance, optimize equipment design, and improve game strategy. Engineers in this field may work with motion capture technology, biomechanical analysis, or material science to refine baseball techniques and gear. They often collaborate with coaches, sports scientists, and data analysts to develop insights that give teams a competitive edge.

What are the typical projects and collaborations you can expect as a baseball engineer?

As a Baseball Engineer, you’ll work on projects such as designing and testing new equipment (like bats or gloves), optimizing ballpark technologies, or improving player performance through motion analysis and biomechanics research. You’ll frequently collaborate with coaches, athletic trainers, players, and data analysts to integrate your engineering solutions with real-world baseball needs. The role often involves both hands-on testing and computer-based design, usually in a dynamic, sports-focused environment. This level of collaboration allows you to see the direct impact of your work on athletic performance and operational innovation within the team or organization.

What are the key skills and qualifications needed to thrive in baseball engineering, and why are they important?

To thrive in Baseball Engineering, you need a strong background in mechanical engineering, biomechanics, data analysis, and materials science, often supported by a related technical degree. Familiarity with motion capture systems, CAD software, high-speed cameras, and player performance analytics platforms is highly beneficial. Excellent problem-solving skills, teamwork, and effective communication are crucial for collaborating with coaches, athletes, and multidisciplinary staff. These skills ensure the development, testing, and optimization of baseball equipment and technologies that directly impact player performance and team success.

What are the most commonly searched types of Baseball Engineering jobs in Pennsylvania?

The most popular types of Baseball Engineering jobs in Pennsylvania are:

What are popular job titles related to Baseball Engineering jobs in Pennsylvania?

For Baseball Engineering jobs in Pennsylvania, the most frequently searched job titles are:

Infographic showing various Baseball Engineering job openings in Pennsylvania as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $41,208 per year, or $19.8 per hour.

Quantitative Analyst Associate (2027)

Philadelphia, PA • On-site

Part-time

Posted 15 days ago


Job description

Title: Quantitative Analyst Associate
Department: Baseball Research & Development
Reports to: Lead/Senior Quantitative Analyst
Status: Hourly Part-Time Seasonal
Position Overview:
As a Quantitative Analyst (QA) Associate, you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.
Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to Baseball Operations leadership and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.
Responsibilities:
  • Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
  • Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
  • Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
  • Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
  • Provide input to database architecture to ensure efficient application of baseball data

Required Qualifications:
  • Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
  • Proven willingness to both teach others and learn new techniques
  • Willingness to work as part of a team on complex projects
  • Proven leadership and self-direction

Preferred Qualifications:
  • Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
  • 0-5+ years of relevant work experience
  • Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

To be considered, all candidates must submit a response for the prompt below:
In player evaluation, some metrics are highly predictive of future performance but provide limited information about why a player will succeed or fail. Other metrics may be less predictive on their own but can help identify specific strengths, weaknesses, or opportunities for improvement.
Assume you have access to several years of professional baseball data, including traditional statistics, pitch- or play-level tracking data, scouting evaluations, player demographics, injury history, and minor-league level and park context.
In 250 words or less, describe how you would determine which information should be included in a player projection model and which information should instead be used primarily to explain, diagnose, or contextualize the projection. Discuss how you would evaluate a metric that improves historical model accuracy but may not remain stable over time, may duplicate information contained in other variables, or may be difficult to obtain consistently for all players.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.