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Baseball Statistics 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 statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for baseball statistics in the United States is $87,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are baseball statistics?

Baseball statistics are numerical data that record and analyze the performance of players and teams in the sport of baseball. These statistics include measurements such as batting average, home runs, runs batted in (RBIs), earned run average (ERA), and many more. They are used by coaches, players, analysts, and fans to evaluate and compare player performance, make strategic decisions, and track historical trends within the sport. Advanced statistics, often called sabermetrics, provide deeper insights into a player's contribution and value to their team.

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

To thrive as a Baseball Statistician, you need a solid background in mathematics, statistics, and data analysis, often supported by a relevant degree such as statistics, mathematics, or data science. Proficiency with statistical software (like R or Python), databases, and specialized baseball analytics platforms such as Statcast or TrackMan is typically required. Strong attention to detail, analytical thinking, and clear communication skills help translate complex data into actionable insights for coaches and teams. These skills are crucial for providing accurate performance evaluations and supporting data-driven decision-making in competitive sports environments.

What are some common challenges faced by professionals working in baseball statistics, and how can they be addressed?

Professionals in baseball statistics often encounter challenges such as managing large and complex data sets, ensuring data accuracy, and communicating findings to non-technical team members. Staying updated with the latest analytical tools and statistical methods is essential, as the field evolves rapidly. Collaboration with coaches, scouts, and front office staff is frequent, so being able to translate complex analyses into actionable insights is key. Developing strong communication skills and continuously learning new technologies can help address these challenges and enhance your impact on the team's decision-making.

What is the difference between Baseball Statistics vs Baseball Data Analyst?

AspectBaseball StatisticsBaseball Data Analyst
CredentialsKnowledge of baseball stats, basic data skillsAdvanced data analysis, programming, statistics
Work EnvironmentSports analytics, media, team reportsData-driven sports organizations, analytics firms
Industry UsageUsed to evaluate player performanceInterprets data to inform decisions and strategies

Baseball Statistics involve collecting and understanding player and game data, while Baseball Data Analysts analyze this data to provide insights. The analyst role requires advanced skills in data analysis and programming, whereas statistics focus on data collection and basic interpretation. Both are essential in the sports industry but serve different functions in enhancing team performance and strategic decisions.

How to become a baseball statistics analyst?

To become a baseball statistics analyst, typically a bachelor's degree in statistics, mathematics, sports management, or a related field is required. Developing strong skills in data analysis, proficiency with tools like Excel, SQL, and statistical software, and gaining experience through internships or projects are important steps in entering the field.

What do baseball statisticians do?

Baseball statisticians analyze game data to track player performance, team trends, and game outcomes. They use statistical tools and software to compile, interpret, and present data that helps teams, coaches, and analysts make informed decisions about player development and game strategies.
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What job categories do people searching Baseball Statistics jobs look for?

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Infographic showing various Baseball Statistics job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $87,234 per year, or $41.9 per hour.

Quantitative Analyst Associate (2027)

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site

Part-time

Posted 12 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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