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Baseball Data Jobs in New York (NOW HIRING)

Applied AI Engineer

Manhattan, NY · On-site

$180 - $200/hr

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 ...

Applied AI Engineer

Corona, 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 ...

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 ...

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Sports Data Reporter

New York, NY · Remote

$50 - $100/day

Strong sports knowledge, especially baseball and basketball * Concentrated under pressure * Effective time management for prompt coverage Company Description Akara Markets builds a real-time sports ...

Showing results 21-40

Baseball Data information

What is a baseball data analyst?

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?

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.

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.

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.

What job categories do people searching Baseball Data jobs in New York look for?

The top searched job categories for Baseball Data jobs in New York are:

What cities in New York are hiring for Baseball Data jobs?

Cities in New York with the most Baseball Data job openings:

Infographic showing various Baseball Data job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Applied AI Engineer

New York Mets

Manhattan, NY • On-site

$180 - $200/hr

Other

Posted 4 days ago


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.

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 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 trade‑offs 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).
Benefits

Salary Range: $180,000 - $200,000

Equity and Diversity Statement

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 selected individual 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.

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