ZipRecruiter

Log In

1

Quantitative Baseball Jobs (NOW HIRING)

Major League Baseball

Senior Product Designer

New York, NY · On-site

$130K - $160K/yr

Major League Baseball is looking for a Senior Product Designer to join our team to help shape the ... Have demonstrated experience working with insights, both qualitative and quantitative * Are good at ...

Major League Baseball

Senior Product Designer

New York, NY · On-site

$130K - $160K/yr

Major League Baseball is looking for a Senior Product Designer to join our team to help shape the ... Have demonstrated experience working with insights, both qualitative and quantitative * Are good at ...

next page

Showing results 1-20

All JobsQuantitative Baseball Jobs

Quantitative Baseball information

See salary details

$31K

$90.6K

$146K

How much do quantitative baseball jobs pay per year?

As of Jun 8, 2026, the average yearly pay for quantitative baseball in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a Quantitative Baseball Analyst?

A Quantitative Baseball Analyst is a professional who uses statistical analysis, mathematics, and data modeling to evaluate player performance, game strategies, and team dynamics in baseball. They collect and analyze large datasets, often using advanced techniques like sabermetrics, to help teams make data-driven decisions on player acquisitions, lineup construction, and in-game tactics. Their work helps organizations gain a competitive edge by identifying undervalued players and optimizing strategies based on quantitative evidence.

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

To thrive as a Quantitative Baseball Analyst, you need strong statistical analysis skills, proficiency in baseball analytics, and typically a degree in statistics, mathematics, or a related field. Familiarity with programming languages like R or Python, data visualization tools, and baseball-specific databases such as Statcast is essential. Attention to detail, critical thinking, and clear communication enable analysts to translate complex data into actionable insights for coaches and managers. These skills are crucial for informing team strategy, player evaluation, and driving competitive advantages in modern baseball.

What is the difference between Quantitative Baseball vs Data Analyst?

AspectQuantitative BaseballData Analyst
Required CredentialsStatistics, sports analytics, programming skillsStatistics, data analysis, Excel, SQL
Work EnvironmentSports teams, analytics firms, research settingsCorporate offices, consulting firms, tech companies
Industry UsageSports industry, baseball teams, sports mediaVarious industries including finance, marketing, healthcare

Quantitative Baseball focuses on applying data analysis and statistical models specifically to baseball, often requiring sports-specific knowledge. Data Analysts work across multiple industries analyzing data to inform business decisions. While both roles involve data skills, Quantitative Baseball is specialized in sports analytics, whereas Data Analysts have a broader application across sectors.

What are the typical challenges faced when working in a quantitative baseball analyst role, and how can candidates prepare for them?

Quantitative baseball analysts often face the challenge of translating complex data insights into actionable recommendations for coaches and front-office staff who may not have technical backgrounds. Additionally, analysts must keep pace with rapidly evolving statistical tools and large datasets, which can be overwhelming without strong programming and communication skills. To prepare, candidates should focus on developing a solid foundation in statistics, proficiency in programming languages like Python or R, and the ability to clearly present findings to non-technical stakeholders. Building familiarity with baseball-specific metrics and maintaining flexibility in fast-paced environments will also be valuable.
Infographic showing various Quantitative Baseball job openings in the United States as of May 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Analyst, Applied Biomechanics

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site, Remote

Other

Medical, Retirement, PTO

Posted 13 days ago

Job description

Title: Quantitative Analyst, Applied Biomechanics
Department: Baseball Solutions - Applied Biomechanics
Reports to: Manager, Applied Biomechanics or Manager, Foundational Research
Status: Regular Full-Time
Location: Philadelphia, PA or Clearwater, FL

Overview:

The Philadelphia Phillies are hiring a Quantitative Analyst to join our Applied Biomechanics team, with a focus on quantitative modeling and analysis. In this role, you'll use biomechanical and/or high performance data to answer practical questions about player evaluation, development, and on-field outcomes. You'll help translate complex data into clear, objective insights that support coaches, analysts, and decision-makers across the organization.

What You'll Do:

  • Build statistical models using athlete high performance, on-field performance, and biomechanical data.
  • Develop metrics, tools, and visualizations to support player evaluation, player development, workload management, and gameplanning processes.
  • Conduct research on relationships between tracking data and on-field outcomes.
  • Help productionize analytical tools and maintain scalable research pipelines.

Required Qualifications:

  • Proven experience creating high performance or biomechanical metrics and researching their relationship to on-field performance.
  • Strong familiarity with supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Proficiency with scripting languages such as Python, statistical software (R, SAS, or similar), and databases (BigQuery, MySQL).

Preferred Qualifications:

  • Familiarity with best practices in machine learning operations (Git, Docker, MLFlow, or equivalent).
  • Demonstrated experience in handling, analyzing, and interpreting biomechanical data in sports. 
  • 1-5+ years of relevant work experience.
  • Master's Degree or Ph.D. in Sports Science, Data Science, or a related field.

What We Offer:

  • Competitive Salary & Benefits: A benefits package that includes health insurance, retirement plans (NUPP and 401k), paid time off, tickets to Phillies games, and the option of remote work.
  • Access To The Cutting Edge: Exposure to advanced tools and proprietary data.
  • Dynamic Team Environment: Work with a team committed to excellence.
  • Personal Growth: Learn from colleagues within a supportive and driven environment.

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.

Apply