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Baseball Analytics Jobs (NOW HIRING)

The New York Mets

Applied AI Engineer

Queens, NY · On-site

$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 ...

New York Mets Organization

Data Engineer

Corona, NY

$120K - $144K/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 ...

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How much do baseball analytics jobs pay per hour?

As of Jun 12, 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
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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.
Applied AI Engineer

Applied AI Engineer

The New York Mets

Queens, NY • On-site

$180K - $200K/yr

Full-time

Posted 26 days ago

Job description

Job Description:
Summary
The New York Mets are seeking an Applied AI Engineer to build and ship production-grade AI capabilities that improve decision-making and streamline workflows across Baseball Operations. 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-powered applications such as retrieval-augmented generation (RAG), secure tool/data integrations (MCP-style patterns), and agentic workflows that can support deep work and research, while ensuring strong standards for quality, security, privacy, and operational excellence.
This is a hands-on role for an engineer who can translate ambiguous baseball operations and player development needs into working software, iterate quickly with stakeholders, and harden solutions into durable systems used daily by analysts, coaches, scouts, and baseball operations staff.
Note: This role will require extensive in-person collaboration and innovation alongside stakeholders, analysts, and engineers. Applicants must be local to NYC (or willing to relocate) and be able to travel to Citi Field regularly. Travel to Spring Training and affiliates may also be required.
Essential Duties & Responsibilities
  • Design, build and maintain AI-powered product experiences that provide intuitive access to baseball information and statistics and workflows across internal systems.
  • Develop end-to-end RAG pipelines (ingest, chunking, embedding, retrieval, generation) with strong attention to answer quality, baseball relevancy, analytics accuracy, latency, and cost.
  • Implement secure tool and data connectors for AI assistants and agents using standardized patterns (MCP-style), enabling safe interaction with internal APIs, data warehouses, and services.
  • Build agentic workflows that can execute multi-step tasks (research, analysis, synthesis, report generation) with clear guardrails, auditability, and human-in-the-loop approvals.
  • Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball operations stakeholders to frame problems, define success, and deliver measurable impact.
  • Contribute to shared engineering standards and reusable components so AI capabilities scale across multiple products and teams.
  • Ensure strong security and privacy practices (access control, data boundaries, logging and auditing, and safe handling of sensitive information).
  • Participate in high-availability support expectations as needed during critical operational periods throughout the baseball season, and during feature releases.

Qualifications
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5+ years of professional software engineering experience, including building and operating production services.
  • Demonstrated experience building LLM-powered applications in production (prompt/program design, structured outputs, tool calling, reliability patterns).
  • Practical experience with retrieval systems (search, embeddings, vector databases, ranking, chunking/indexing) and applying them to real workflows.
  • Strong experience with modern backend and data integration fundamentals: APIs, SQL, distributed systems, and cloud infrastructure (GCP/AWS/Azure)
  • Proficiency in one or more production languages commonly used for AI applications and services (e.g. Python and/or Typescript)
  • Approach work as highly collaborative and stakeholder-driven, with the ability to operate in ambiguity while iterating quickly.
  • Strong written and verbal communication skills with the ability to explain tradeoffs to technical and non-technical audiences.
  • Experience working in sports, health, finance, or other high-stakes analytics-heavy environments, preferred.
  • Strong interest in baseball and comfort working within the culture of a professional sports organization, preferred

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 value the unique qualities individuals with various backgrounds and experiences can offer 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: $180,000 - $200,000
For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

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