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Baseball Research Jobs (NOW HIRING)

Major League Baseball is proud to sponsor a select group of qualifying candidates to attend the 15th Annual SABR Analytics Conference (Society for American Baseball Research), to be held February 27 ...

Cloud Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Familiarity with baseball and with current baseball research. * Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar workflow orchestration tools.

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

Familiarity with baseball and with current baseball research. * Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar workflow orchestration tools.

Cloud Data Engineer

Detroit, MI · On-site

$113K - $135K/yr

Familiarity with baseball and with current baseball research. * Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar workflow orchestration tools.

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Baseball Research information

See salary details

$80K

$99.8K

$135.5K

How much do baseball research jobs pay per year?

As of Jun 9, 2026, the average yearly pay for baseball research in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What is a Baseball Research job?

A Baseball Research job involves analyzing data, statistics, and trends to provide insights that help teams, analysts, and organizations make informed decisions. This can include player performance evaluation, game strategy optimization, scouting reports, and historical research. Professionals in this field use tools like statistical modeling, machine learning, and database management to interpret complex baseball data. Teams, media outlets, and analytics companies often employ baseball researchers to improve performance and decision-making.

What does a typical day look like for someone working in Baseball Research?

A typical day in Baseball Research involves collecting and analyzing game data, generating reports, and providing actionable insights to coaches and front office staff. You might spend time cleaning datasets, building statistical models, and preparing presentations or visualizations to communicate findings. Collaboration is frequent, as you'll often work with scouts, coaches, and analysts to address specific team or player questions. While much of the work is data-focused, attending meetings and watching games—either live or via video—is also common to better contextualize your analyses. The environment is dynamic and fast-paced, especially during the baseball season, rewarding those who enjoy both teamwork and independent problem-solving.

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

To thrive in Baseball Research, you need strong analytical skills, expertise in statistics, and a solid understanding of baseball rules and strategies, often supported by a degree in statistics, data science, or a related field. Proficiency with data analysis tools such as R, SQL, Python, and baseball-specific databases like Baseball-Reference or Statcast is typically required. Strong attention to detail, effective communication, and the ability to collaborate with coaching staff are crucial soft skills. These capabilities are important for producing accurate insights that directly inform player evaluation, development, and team strategy.

More about Baseball Research jobs
What cities are hiring for Baseball Research jobs? Cities with the most Baseball Research job openings:
What are the most commonly searched types of Baseball Research jobs? The most popular types of Baseball Research jobs are:
What states have the most Baseball Research jobs? States with the most job openings for Baseball Research jobs include:
Infographic showing various Baseball Research job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.
Baseball Operations R&D Intern

Baseball Operations R&D Intern

San Francisco Giants

Oracle, AZ • On-site

$25 - $30/hr

Internship

Posted yesterday


Job description

Title: Baseball Operations R&D Intern
Department: Baseball Operations
Location: San Francisco, CA
Status: Part-Time; Non-Exempt
Position Summary:
The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
• Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts.
• Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio.
• Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops.
• Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops.
• Own small-scale (or larger!) research projects and see them through to completion.
• Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.
Skills and Qualifications:
• Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math.
• Fluency in SQL and at least one general-purpose programming language (e.g. Python, R).
• Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results.
• Passion and curiosity for baseball analytics.
• Strong work ethic with a voracious appetite to learn on the fly.
• Positive attitude and willingness to contribute to team culture.
• Experience with machine learning and/or computer vision is a plus.
At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00.
At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.