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Baseball Statistician Jobs (NOW HIRING)

Lake Land College

Assistant Baseball Coach

Mattoon, IL · On-site

$15.50/hr

... entering game statistics to NJCAA. * Become knowledgeable in rules and regulations of NJCAA ... Knowledge of baseball coaching methods, rules and motivational techniques. Skills: Personal ...

Columbia College

Assistant Baseball Coach

Columbia, MO · On-site

$1.0K/hr

Assistant Baseball Coach Department: Athletics Location: Columbia, MO Type: Staff, Part-time ... crime statistics for the main campus and venues nationwide. Columbia College is required to ...

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How much do baseball statistician jobs pay per year?

As of Aug 27, 2026, the average yearly pay for baseball statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a baseball statistician?

A Baseball Statistician analyzes data related to baseball performance, using statistics to evaluate players, teams, and strategies. They collect, interpret, and apply advanced metrics to gain insights that help coaches, scouts, and front offices make informed decisions. Some statisticians work with traditional stats like batting averages and ERA, while others use advanced analytics such as WAR and OPS+. This role is essential in modern baseball for improving team performance, scouting talent, and optimizing game strategies.

What are the typical daily responsibilities of a baseball statistician?

A Baseball Statistician's daily tasks often include collecting and verifying game data, conducting advanced statistical analysis, preparing reports for coaches or management, and maintaining player or team databases. You may also work closely with scouting departments or analysts to provide insights on player performance, trends, and potential opportunities for improvement. Collaboration with coaching staff is common, as your findings can directly inform strategy and lineup decisions. Depending on the organization, you could also assist with live game data tracking or post-game analysis. This role combines data analysis with a passion for baseball, making flexibility and strong communication essential for success.

What are the key skills and qualifications needed to thrive as a baseball statistician?

To thrive as a Baseball Statistician, you need strong analytical skills, a deep understanding of baseball rules and statistics, and typically a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as R or Python), databases, and sometimes experience using sports analytics platforms is important. Attention to detail, clear communication, and the ability to work both independently and as part of a team are valuable soft skills in this field. These abilities are essential for collecting, interpreting, and presenting data that supports team strategies and player evaluations.

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Baseball Statistician jobs near you
Infographic showing various Baseball Statistician job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 59% Full Time, 29% Part Time, 7% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Quantitative Analyst Associate (2027)

Philadelphia, PA • On-site

Philadelphia Phillies - Baseball Operations
See more jobs at Philadelphia Phillies - Baseball Operationsexternal

Part-time

Posted 18 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.

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