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How much do baseball operations jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for baseball operations in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $30.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in baseball operations, and why are they important?

To thrive in Baseball Operations, you need a solid understanding of baseball analytics, player evaluation, and organizational management, often supported by a degree in sports management, statistics, or a related field. Familiarity with analytics software like R, SQL databases, and scouting systems is highly valued, as are certifications in sports administration or data analysis. Strong communication, attention to detail, and teamwork skills help professionals collaborate effectively across departments and translate data into actionable insights. These skills are crucial for building competitive teams, making data-driven decisions, and ensuring the smooth operation of a baseball organization.

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

Professionals in Baseball Operations often encounter challenges such as balancing analytical data with scouting intuition, managing a high volume of player information, and coordinating communication between coaches, scouts, and front office staff. Time management is crucial, especially during the season when roster decisions and player acquisitions happen quickly. To address these challenges, it's important to develop strong organizational skills, stay current with industry technology, and foster effective collaboration across departments. Building relationships with both analytical and traditional baseball personnel can also enhance decision-making and team success.

What is baseball operations?

Baseball operations refer to the department within a baseball organization responsible for all aspects of building and managing the team on the field. This includes player scouting, drafting, trades, analytics, player development, and contract negotiations. The baseball operations staff works behind the scenes to assemble the roster, develop talent, and make strategic decisions that impact the team's performance. Positions in baseball operations can range from general managers and scouts to analysts and player development coordinators.

What is the difference between Baseball Operations vs Baseball Analytics?

AspectBaseball OperationsBaseball Analytics
CredentialsDegree in sports management, business, or related fields; experience in baseballDegree in statistics, data science, or related fields; proficiency in data analysis tools
Work EnvironmentTeam offices, stadiums, collaboration with scouts and coachesData centers, software platforms, collaboration with analysts and front office
Employer & Industry UsageMajor and minor league teams, MLB front officesTeams, analytics firms, sports data companies

Baseball Operations encompasses the broader management of team activities, including player transactions, scouting, and game strategy. Baseball Analytics focuses specifically on data analysis to inform decisions. While both roles collaborate closely, Baseball Operations handles overall team management, whereas Baseball Analytics provides data-driven insights to support those decisions.

More about Baseball Operations jobs
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Baseball Operations jobs near you
Infographic showing various Baseball Operations job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $54,588 per year, or $26.2 per hour.

Senior Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA • On-site

$100 - $140/hr

Other

Medical, Retirement, PTO

Re-posted 8 days ago

Job description

DEPARTMENT OVERVIEW

Baseball Analytics is the quantitative research and data science group within Baseball Operations. We develop statistical models, machine learning algorithms, and analytical tools that support decision‑making across Baseball Operations including player acquisition, player development, and player optimization. Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions.

POSITION OVERVIEW

The Boston Red Sox seek a Senior Data Scientist for the club’s Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision‑making across all aspects of Baseball Operations. The Senior Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. As a senior member of the team, the Senior Data Scientist will help shape the data strategy of the department, influencing team growth and keeping the group on the cutting edge of predictive data science. This role offers a unique opportunity to apply advanced statistical techniques and data science to shape the team's future direction.

The successful candidate will possess excellent analytical skills, a deep understanding of baseball, and the ability to communicate technical concepts to non‑technical audiences effectively. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience.

The salary range for this position is $100,000–$140,000, based on relevant experience and internal equity. Our full‑time employees also receive a comprehensive benefits package, including healthcare, retirement plans, paid time off, and more.

RESPONSIBILITIES
  • Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization.
  • Craft compelling written reports and data visualizations to effectively communicate complex analyses to diverse audiences, including both technical specialists and Baseball Operations leadership.
  • Partner with the Baseball Systems team to seamlessly integrate new analytical findings into team applications and proactively identify and address data quality issues.
  • Take an active role in evaluating cutting‑edge analytics and research from public and academic spaces to drive innovative ideas and methodologies to help continuously improve the department.
  • Introduce creative and novel methodologies to improve existing processes and enhance departmental decision making.
COMPETENCIES
  • Advanced understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
  • Practical understanding of how to approach research questions to drive actionable insights.
  • Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way.
ADDITIONAL QUALIFICATIONS
  • PhD in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience.
  • Expert proficiency in SQL and programming languages such as R or Python.
  • A passion for baseball and a strong desire to contribute to building a championship‑winning team.

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

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