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Baseball Data Analytics Jobs (NOW HIRING)

New York Mets Organization

Data Engineer

Corona, NY · On-site

$120K - $144K/yr

Support quantitative analysts in Baseball and Business Analytics with production deployments and maintenance of machine learning and other predictive models * Build and manage Data Model ...

MINES

Head Coach Baseball

Golden, CO · On-site

$63K/yr

Participate in the collection and analysis of tactical and statistical data of opponent teams ... baseball program * Ability to work closely with athletic training and sports performance staff to ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... science and analytics. * Familiarity with MLOps concepts and tooling, including model serving ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... science and analytics. * Familiarity with MLOps concepts and tooling, including model serving ...

royals

Performance Science Analyst

Surprise, AZ · On-site

... baseball performance and player health * Strong organizational skills, intellectual curiosity ... Advanced skills in data analytics and common computer programming languages and tools (R, SQL ...

royals

Performance Science Analyst

Surprise, AZ · On-site

... baseball performance and player health * Strong organizational skills, intellectual curiosity ... Advanced skills in data analytics and common computer programming languages and tools (R, SQL ...

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113K - $135K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... science and analytics. * Familiarity with MLOps concepts and tooling, including model serving ...

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Baseball Data Analytics information

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$33K

$81.5K

$140K

How much do baseball data analytics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for baseball data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Baseball Data Analytics position, and why are they important?

To thrive in Baseball Data Analytics, you need strong statistical analysis capabilities, proficiency in sports analytics, and a background in mathematics, computer science, or a related field. Familiarity with data visualization tools, SQL databases, Python or R programming, and platforms like TrackMan or Statcast is typically required. Excellent communication, teamwork, and critical thinking are valuable soft skills to clearly present insights and collaborate with coaching staff. These abilities are essential for transforming complex data into actionable strategies that improve team performance and decision-making.

What is a Baseball Data Analytics job?

A Baseball Data Analytics job involves collecting, analyzing, and interpreting baseball data to provide insights that help teams make better decisions. Analysts work with player performance metrics, in-game statistics, and predictive models to assess talent, optimize strategies, and improve overall team performance. These roles require strong statistical and programming skills, often using tools like SQL, Python, and R. Many analysts work for MLB teams, minor league affiliates, or sports technology companies.

What are some typical daily tasks for someone working in Baseball Data Analytics?

A professional in Baseball Data Analytics often spends their day collecting and cleaning player and game data, performing in-depth statistical analyses, and developing models to evaluate player performance or inform tactical decisions. They regularly collaborate with coaches, scouts, and front-office staff to translate complex findings into actionable advice. In addition, they may create visualizations or reports using tools like Tableau or Power BI and stay updated with new analytical methods and technologies in sports. This dynamic environment offers opportunities to contribute directly to the team’s competitive strategy while constantly learning new industry trends.

More about Baseball Data Analytics jobs
What cities are hiring for Baseball Data Analytics jobs? Cities with the most Baseball Data Analytics job openings:
What are the most commonly searched types of Baseball Data Analytics jobs? The most popular types of Baseball Data Analytics jobs are:
What states have the most Baseball Data Analytics jobs? States with the most job openings for Baseball Data Analytics jobs include:
What job categories do people searching Baseball Data Analytics jobs look for? The top searched job categories for Baseball Data Analytics jobs are:
Baseball Data Analytics jobs near you
Infographic showing various Baseball Data Analytics job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 77% Full Time, 3% Part Time, and 15% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Scientist Fellow

Data Scientist Fellow

Baltimore Orioles

Baltimore, MD • On-site

$20/hr

Part-time

Posted 14 days ago

Job description

Title: Data Scientist Fellow
Reports To: Assistant GM, Analytics
Department: Baseball Analytics
Job Type: Part-time, seasonal, hourly
Job Summary
This position is responsible for creating and analyzing baseball datasets through the use of advanced statistical techniques, with the goal of building and maintaining interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.
Primary Responsibilities
  • Identify, diagnose and resolve data quality issues.
  • Work with end users to understand modeling needs.
  • Design, analyze, test and implement interpretable predictive models using R or Python.
  • Work with users and developers to create usable tools for the customers.
  • Evaluate, recommend and integrate new data sources (internal and 3rd party external data sources).
  • Complete ad-hoc reports or small studies as assigned throughout the year.
  • Execute SQL database queries to filter, clean and prepare data from existing database.

Qualifications
Required:
  • Deep passion for baseball and baseball analytics.
  • Understanding of statistics and statistical models.
  • Strong written and oral communication and presentation skills.
  • Excellent interpersonal skills and the ability to work well with staff members of all levels.

Desired:
  • Currently enrolled in or completed bachelor's Degree in Statistics, Analytics, Operations Research, Mathematics, Computer Science, or equivalent.
  • Experience with SQL.
  • Experience with R or Python and pragmatic mathematical modeling.
  • Experience with statistical analyses, data mining techniques, and working with large datasets.

The anticipated hourly rate for this role is $20/hour.
This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.
DISCLAIMER:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.
EQUAL OPPORTUNITY STATEMENT:
The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race (including hair textures, afro hairstyles, or protective hairstyles), color, national origin or ancestry, religion or creed, gender or sex (including pregnancy), age, disability, citizenship status, marital status, veteran's status, genetic predisposition or carrier status, gender identity, sexual orientation, or any other characteristic protected by law.

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