ZipRecruiter

Log In

1

Baseball Data Science Jobs (NOW HIRING)

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

... baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports ... Work closely with cross functional team to align data science initiatives with business priorities

next page

Showing results 1-20

All JobsBaseball Data Science Jobs

Baseball Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do baseball data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for baseball data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How do baseball data scientists typically collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or computer science, often with a bachelor's degree in a related field. Proficiency in programming languages such as Python or R, experience with sports data, and knowledge of baseball metrics are important. Gaining experience through internships or projects and understanding baseball analytics tools like Statcast or TrackMan can improve job prospects.

How is data science used in baseball?

In baseball data science involves analyzing player and game data to improve team strategies, player performance, and scouting. Data scientists use statistical models, machine learning, and visualization tools to identify patterns and make data-driven decisions that enhance team success.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team statistics. These professionals often use tools like R, Python, and SQL, and may work closely with sports analysts and coaches to inform decision-making.

How much do baseball data scientists make?

Baseball data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of the organization. Senior roles or those in major league organizations can earn higher salaries, often exceeding $150,000. Skills in statistics, programming, and sports analytics tools are important for this role.

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

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.
More about Baseball Data Science jobs
What cities are hiring for Baseball Data Science jobs? Cities with the most Baseball Data Science job openings:
What are the most commonly searched types of Baseball Data Science jobs? The most popular types of Baseball Data Science jobs are:
What states have the most Baseball Data Science jobs? States with the most job openings for Baseball Data Science jobs include:
What job categories do people searching Baseball Data Science jobs look for? The top searched job categories for Baseball Data Science jobs are:
Baseball Data Science jobs near you
Infographic showing various Baseball Data Science job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 32% Part Time, 6% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Staff Software Engineer, Research & Development

H star

Houston, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Department: Research & Development
Reports to: Assistant Director of Development, Research & Development
Classification: Full-Time/Exempt
Location: Houston, TX
Summary/Objective:
The Houston Astros are seeking a Staff Software Engineer to join our Software Development team within the Research and Development department. This role is ideal for a technically distinguished engineer who drives architectural vision, elevates engineering standards across teams, and is interested in delivering systems that have lasting impact on baseball decision-making.
You'll work across the full stack-from ingesting and transforming data to building intuitive front-end applications and compelling data visualizations. You'll help shape frontend architecture decisions, modernize legacy systems, and champion engineering excellence across the department.
Essential Functions & Responsibilities:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Design, build, and maintain full-stack applications that support Baseball Operations, with an emphasis on responsive and intuitive frontend experiences.
    • Define, govern, and evolve the frontend architecture strategy, including patterns, component libraries, and standards that support long-term maintainability.
    • Design and develop interactive data visualizations and dashboards that translate complex baseball data into clear, actionable insights for decision-makers.
    • Build scalable, automated systems with longevity and maintainability in mind.
  • Modernize legacy codebases and frontend interfaces while ensuring continuity of critical systems.
  • Establish and continuously improve best practices in software development, including code reviews, testing, continuous integration, and documentation.
    • Act as a force multiplier by mentoring senior engineers, conducting design reviews, and developing engineering talent across the team.
    • Serve as a technical leader and mentor in frontend and data visualization best practices, while remaining hands-on as an individual contributor.
  • Partner with R&D leadership to translate long-term organizational needs into durable technical strategy.
    • Collaborate closely with analysts, data scientists, and baseball operations staff to understand data needs and deliver effective visualization solutions.
  • Participate in a rotating on-call schedule to address any urgent issues with our software systems.
  • Perform other duties as assigned.

Qualifications:
  • 8+ years of professional software engineering experience.
  • Demonstrated experience owning architecture decisions for multi-system or department-wide platforms.
  • Track record of influencing technical direction beyond your immediate team through design docs, mentorship, or cross-functional leadership.
  • Ability to evaluate build vs. buy tradeoffs and communicate recommendations to both technical and non-technical leadership.
  • Expert-level proficiency in one or more modern frontend framework (e.g. React, Vue, Svelte).
  • Experience building data visualizations using libraries such as js, Layer Cake, or Plotly.
  • Deep expertise in frontend architecture patterns, with proven experience designing systems used by multiple teams or over multi-year horizons.
  • Experience with relational databases and writing complex SQL queries.
  • Proven experience maintaining, refactoring, and modernizing legacy codebases.
  • Familiarity with CI/CD pipelines and version control (Git).
  • Exceptional communication and influence skills including the ability to build consensus among engineers, present technical strategy to leadership, and drive alignment across stakeholders with competing priorities.
  • Experience working with sports data is a plus.

Work Environment
This position operates primarily in an office and stadium environment. The noise level is generally moderate but can increase significantly during events, ranging from low to very loud depending on crowd size and stadium activity. This role routinely uses standard office equipment such as computers, phones, and printers.
Physical Demands
While performing the duties of this job, the employee is occasionally required to stand; walk; sit (for long periods of time); use hands to handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee may occasionally lift or move equipment, up to 20 pounds. Specific vision abilities required by this job include close and focused vision.
Position Type and Expected Hours of Work
Ability to work a flexible schedule, including; extended hours, evenings, weekends, and holidays.
Travel
Some travel may be expected in this role.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
EOE/M/F/Vet/Disability
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply