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Baseball Analytics Jobs (NOW HIRING)

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

$20/hr

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 ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

$20/hr

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 ...

AEG

Sports Management Internship

Carthage, NC · On-site

$11.75 - $16/hr

Ticket Sales, Public Address / In-Game Entertainment, Baseball Analytics / Statistics, Social Media and facility and field maintenance. Here's what we expect from you: * Desire to learn and grow

H star

Applied AI Engineer

Manhattan, NY

$180K - $200K/yr

This role sits at the intersection of Baseball Systems (software engineering), Data Engineering, Baseball Analytics, Performance Technology, and modern generative AI. You will develop reliable AI ...

Frozen Ropes USA

Baseball Coach

Chester, NY

Responsibilities include developing tailored training plans, observing and analyzing player ... Qualifications * Strong skills in Coaching Baseball and understanding of Baseball fundamentals

New

The New York Mets

Data Engineer

Queens, NY · On-site

$90K/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, Data ...

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How much do baseball analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for baseball analytics in the United States is $19.76, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.19 per hour, depending on experience, location, and employer.

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

To thrive in Baseball Analytics, you need a strong background in statistics, data analysis, and baseball knowledge, usually supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages like R or Python, experience using databases such as SQL, and knowledge of data visualization tools are typically required. Strong attention to detail, problem-solving skills, and effective communication help analysts convey complex insights to coaches and management. These skills are crucial for transforming data into actionable strategies that drive team performance and competitive advantage.

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

AspectBaseball AnalyticsBaseball Data Analyst
Required CredentialsDegree in statistics, data science, or related field; knowledge of baseball metricsSimilar credentials; strong analytical and baseball knowledge
Work EnvironmentSports teams, analytics firms, or media companiesSports organizations, analytics firms, or media outlets
Industry UsageUsed for strategic decision-making, player evaluation, and game analysisFocuses on data collection, processing, and reporting for baseball insights

Baseball Analytics and Baseball Data Analyst roles overlap significantly, with both requiring strong analytical skills and baseball knowledge. However, Baseball Analytics often involves developing models and strategic insights, while Baseball Data Analysts focus more on data collection and reporting. Both roles are essential in the baseball industry for improving team performance and fan engagement.

How does a Baseball Analytics professional typically collaborate with coaches and players to implement data-driven strategies?

Baseball Analytics professionals work closely with coaches and players to translate complex statistical insights into actionable strategies on the field. This collaboration often involves presenting data through visualizations or reports, attending team meetings to explain findings, and offering recommendations for player development, game tactics, or opponent analysis. The role requires strong communication skills to bridge the gap between technical data and practical application, ensuring that analytics are both understandable and relevant to the coaching staff and athletes. Building trust and maintaining open dialogue with the team are key to successfully integrating analytics into daily routines.

How much do baseball analytics make?

Baseball analytics professionals, such as data analysts and sabermetricians, typically earn between $50,000 and $120,000 annually, depending on experience, education, and the level of the organization. Entry-level roles may start lower, while experienced analysts working for Major League Baseball teams or in senior positions can earn higher salaries, often supplemented with bonuses and benefits. Strong skills in statistics, programming, and data visualization are valuable in this field.

What does a baseball data analyst do?

A baseball data analyst collects, organizes, and interprets game and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to analyze metrics such as player performance, game trends, and injury patterns, often working closely with coaches and management. Strong skills in statistics, data visualization, and familiarity with baseball-specific metrics are essential for this role.

How much do baseball statisticians make?

Baseball statisticians, also known as sabermetricians, typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of employment such as teams, media, or consulting firms. Entry-level roles may start lower, while experienced professionals working with Major League Baseball teams or in advanced analytics can earn higher salaries, often supplemented with bonuses or benefits.

What is baseball analytics?

Baseball analytics is the use of data analysis, statistical methods, and advanced metrics to evaluate player performance, team strategies, and game outcomes in baseball. It involves collecting and interpreting data such as player statistics, pitch tracking, and fielding information to make informed decisions. Teams use analytics to gain a competitive edge by optimizing lineups, defensive positioning, and player acquisitions. This field has grown significantly with the advent of technology and large datasets, leading to new insights and strategies in the sport.

Do baseball analytics work?

Baseball analytics is a proven field that uses statistical methods and data analysis to evaluate player performance, team strategies, and game outcomes. Professionals in this area often utilize tools like R, Python, and specialized databases to inform decision-making and improve team performance. The effectiveness of analytics depends on data quality and the skill of analysts, but it has become an integral part of modern baseball operations.
More about Baseball Analytics jobs
What cities are hiring for Baseball Analytics jobs? Cities with the most Baseball Analytics job openings:
What are the most commonly searched types of Baseball Analytics jobs? The most popular types of Baseball Analytics jobs are:
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Baseball Analytics jobs near you
Infographic showing various Baseball Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $41,110 per year, or $19.8 per hour.

Senior Data Scientist, Baseball Analytics

New York Mets Organization

Corona, NY

$120K - $150K/yr

Full-time

Posted 20 days ago

Job description

Job Description:

Summary:

The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

  • Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

  • Interpret data and report conclusions drawn from their analyses

  • Present model outputs in an effective way, both for technical and non-technical audiences

  • Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

  • Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

  • Evaluate potential new data sources and technologies to determine their validity and usefulness

  • Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

  • Ph.D. in statistics or a related field, or equivalent professional experience

  • Strong background in a wide variety of statistical techniques

  • Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

  • Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

  • Strong communication skills

  • Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

The aboveinformation is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary Range: $120,000 - $150,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

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