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Baseball Data Science Jobs in Missouri (NOW HIRING)

Senior Software Developer

Saint Louis, MO · On-site

$53 - $70/hr

... Baseball, and over 1000 NCAA athletic departments ... Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point ...

Senior Software Developer

Saint Louis, MO · On-site

$53 - $70/hr

... Baseball, and over 1000 NCAA athletic departments ... Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point ...

Baseball Data Science information

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.
What are popular job titles related to Baseball Data Science jobs in Missouri? For Baseball Data Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Baseball Data Science jobs in Missouri look for? The top searched job categories for Baseball Data Science jobs in Missouri are:
What cities in Missouri are hiring for Baseball Data Science jobs? Cities in Missouri with the most Baseball Data Science job openings:
Infographic showing various Baseball Data Science job openings in Missouri as of July 2026, with employment types broken down into 1% Locum Tenens, 71% Full Time, 21% Part Time, 6% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Analyst, Player Development - Research & Development

royals

Kansas City, MO

Other

Retirement, PTO

Posted 22 days ago


Job description

Job Title: Analyst, Player Development - Research & Development                                       

                                                         

Job Summary: The Kansas City Royals are seeking a highly motivated and creative analyst to join the organization. Working under the direction of the Assistant Director of Research & Development, Brandon Nelson, the analyst will be fully integrated into the Minor League Player Development system to strengthen the resources used to maximize player performance. The successful candidate will combine analytical expertise and clear communication skills to translate baseball data into insights that give The Royals an edge when it comes to developing the best baseball talent in the game.

 

Responsibilities & Duties:

  • Oversee and run the Player Development pipeline that delivers data and reports to the organization on a daily basis
  • Be a critical thinker to improve resources for player development strategies
  • Build reports to deliver digestible insights to coaches and players
  • Effectively communicate data with Minor League coaches, staff, and players
  • Perform ad-hoc data analysis to answer questions that help inform player development decisions

Position Qualifications, Skills, and Experience Required:

  • Record of published baseball research and or a portfolio of technical projects in any domain
  • Strong proficiency with SQL and R to query and analyze data from large data sets
  • Interpersonal and communication skills to seamlessly interact with front office, analysts, coaches, players, and other Baseball Operations personnel
  • Familiarity with modern player evaluation and player development metrics

Preferred Qualifications:

  • Software engineering background with the ability to design and build systems programmatically
  • Experience building models with large data sets to answer research questions
  • Experience as a player, coach, or staff member in a high level sports environment
  • Familiarity with the landscape of Minor League Baseball and its teams and players
  • Proficiency with HTML and CSS to create and maintain interactive reports or PDFs
  • 4-year degree or equivalent experience in computer science, mathematics, statistics, or related quantitative field

Position Details

  • Relocation to Kansas City is strongly preferred but not required
  • Travel to Arizona for Minor League Spring Training is required
  • Potential for trips to Minor League Affiliates throughout the season

 

Physical Requirements:

  • Ability to lift items weighing as much as 15 pounds
  • Must be able to work in a seated position for majority of workday
  • Must be able to be productive utilizing a computer keyboard and telephone
  • Must be able to be productive in a work environment where the noise level can be high at times
  • Must be comfortable walking to navigate the facility to access the office, concourse, etc.
  • Must be able to work extended hours and/or weekends as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to see, talk, and hear. The employee frequently is required to sit for long periods of time; walk; use hands, handle, or feel.
This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO. This role is expected to have a standard 40-hour work week.