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Baseball Data Jobs (NOW HIRING)

TOCA Football

Baseball Coach

Cobb, GA · On-site

Kennesaw, GA Report To: D-Bat Baseball Manager Hours Required: Flexible Hours, but must be ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

TOCA Football

Baseball Coach

Kennesaw, GA · On-site

Kennesaw, GA Report To: D-Bat Baseball Manager Hours Required: Flexible Hours, but must be ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

William and Mary

Pitching Coach, Baseball

$45K/yr

Maintain contact information on all recruits, coaches, schools and other pertinent data. * Ensure ... JP0554 - Assistant Baseball Coach - Exempt - Salary - S09 Qualifications: Compensation Grade: S09 ...

TOCA Football

Baseball Training Coach

Burnsville, MN

D-Bat Baseball Manager Hours Required: Flexible Hours, but must be available afternoons, weekends ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

TOCA Football

Baseball Training Coach

Burnsville, MN · On-site

D-Bat Baseball Manager Hours Required: Flexible Hours, but must be available afternoons, weekends ... Get in the game with one-on-one sessions, tailored training plans, and baseline data reviews. Your ...

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Baseball Data information

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How much do baseball data jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for baseball data in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

What are baseball data analysts?

Baseball data analysts are professionals who collect, process, and interpret data related to baseball games and players. They use statistical techniques and software tools to evaluate player performance, develop strategies, and support decision-making for teams and coaches. Their work often involves advanced analytics, including sabermetrics, to gain insights that traditional scouting might miss. Baseball data analysts play a crucial role in modern baseball organizations, helping teams gain competitive advantages through data-driven approaches.

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

To thrive as a Baseball Data Analyst, you need strong statistical analysis skills, proficiency in sports analytics, and typically a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as SQL, R, Python, and data visualization platforms, along with experience using baseball-specific databases like Statcast, is essential. Attention to detail, critical thinking, and effective communication are standout soft skills for interpreting and presenting complex data to coaches and executives. These skills are crucial for delivering actionable insights that improve team performance and inform strategic decision-making.

What is the difference between Baseball Data vs Baseball Analyst?

AspectBaseball DataBaseball Analyst
Required CredentialsBasic knowledge of statistics, data collection skillsAdvanced analytics, statistical modeling, and interpretation skills
Work EnvironmentData entry, database management, researchData analysis, reporting, strategic recommendations
Industry UsageData collection and management in sports organizationsAnalyzing data to inform team decisions and player evaluations

Baseball Data involves gathering and managing raw data related to baseball games, players, and statistics. In contrast, a Baseball Analyst interprets this data to provide insights, strategies, and recommendations. While Baseball Data focuses on data collection, Baseball Analysts focus on analysis and application of that data to improve team performance and decision-making.

How does a Baseball Data Analyst typically collaborate with coaches and players to drive on-field performance improvements?

Baseball Data Analysts often work closely with coaches and players by translating complex statistical findings into actionable insights. They attend team meetings, provide scouting reports, and help tailor training plans based on data-driven evaluations. Analysts may also prepare visualizations or summaries that make advanced metrics accessible for non-technical staff, ensuring everyone understands how data can inform strategy and player development. This collaborative environment fosters a culture of continuous improvement and evidence-based decision-making.
More about Baseball Data jobs
What cities are hiring for Baseball Data jobs? Cities with the most Baseball Data job openings:
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What job categories do people searching Baseball Data jobs look for? The top searched job categories for Baseball Data jobs are:
Baseball Data jobs near you
Infographic showing various Baseball Data 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 $75,411 per year, or $36.3 per hour.
Senior Data Scientist, Baseball Analytics

Senior Data Scientist, Baseball Analytics

The New York Mets

Queens, NY • On-site

$120K - $150K/yr

Full-time

Re-posted 21 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 above information 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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