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Baseball Analytics Salary Jobs (NOW HIRING)

Applied AI Engineer

Corona, NY ยท On-site

$180K - $200K/yr

Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball ... Salary Range: $180,000 - $200,000 For technical reasons, we strongly advise to not use an .edu ...

Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball ... Salary Range: $180,000 - $200,000 For technical reasons, we strongly advise to not use an .edu ...

Data Engineer

Queens, NY ยท On-site

$90K/yr

Support quantitative analysts in Baseball and Business Analytics with production deployments and ... Salary Range: $ 75,000 - $90,000 For technical reasons, we strongly advise to not use an .edu email ...

Applied AI Engineer

Queens, NY ยท On-site

$180K - $200K/yr

Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball ... Salary Range: $180,000 - $200,000 For technical reasons, we strongly advise to not use an .edu ...

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Baseball Analytics Salary information

See salary details

$14.5K

$50.9K

$67K

How much do baseball analytics salary jobs pay per year?

As of Jun 13, 2026, the average yearly pay for baseball analytics salary in the United States is $50,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $60,000.00 per year, depending on experience, location, and employer.

How to become a baseball analytics?

To become a baseball analyst, develop strong skills in statistics, data analysis, and programming languages like R or Python. Obtain a degree in fields such as sports management, statistics, or computer science, and gain experience with baseball data and analytics tools like Statcast or TrackMan. Internships or entry-level roles in sports organizations can also help build relevant experience.

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

AspectBaseball Analytics SalaryBaseball Data Analyst Salary
Required CredentialsBachelor's in Sports Management, Statistics, or related field; experience with data analysis toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis software
Work EnvironmentSports teams, analytics firms, or sports mediaSports organizations, analytics companies, or media outlets
Industry UsageUsed for strategic decision-making, player evaluation, and performance analysisUsed for data collection, analysis, and reporting to support team decisions

Both roles involve analyzing baseball data, but Baseball Analytics Salary often emphasizes strategic insights and predictive modeling, while Baseball Data Analyst Salary focuses more on data collection and reporting. The salaries are comparable, reflecting similar skill requirements and industry demand.

Is sports analytics a good career?

Sports analytics is a growing field that involves analyzing game data, player performance, and team strategies using statistical tools and software. Careers in this area often require strong analytical skills, knowledge of sports, and proficiency in data analysis tools like R or Python. It can be a rewarding career for those interested in sports and data science, with opportunities in professional teams, leagues, and media organizations.

How much do baseball analytics analysts make?

Baseball analytics analysts typically earn between $50,000 and $100,000 annually, depending on experience, location, and the level of the organization. Entry-level positions may start lower, while experienced analysts or those working for major league teams can earn higher salaries, often supplemented with bonuses or benefits.
More about Baseball Analytics Salary jobs
What cities are hiring for Baseball Analytics Salary jobs? Cities with the most Baseball Analytics Salary job openings:
What states have the most Baseball Analytics Salary jobs? States with the most job openings for Baseball Analytics Salary jobs include:
Infographic showing various Baseball Analytics Salary job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $50,906 per year, or $24.5 per hour.

Senior Data Scientist, Baseball Analytics

New York Mets Organization

Corona, NY โ€ข On-site

$120K - $150K/yr

Full-time

Posted 22 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.