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Baseball Data Science Jobs (NOW HIRING)

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and ... Collaborate with leading data scientists on areas such as data analysis, machine vision, and ...

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible ... Science, or equivalent. * Experience with SQL. * Experience with R or Python and pragmatic ...

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Baseball Data Science information

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$41.5K

$142.5K

$201K

How much do baseball data science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for baseball data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How do baseball data scientists typically collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

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

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or computer science, often with a bachelor's degree in a related field. Proficiency in programming languages such as Python or R, experience with sports data, and knowledge of baseball metrics are important. Gaining experience through internships or projects and understanding baseball analytics tools like Statcast or TrackMan can improve job prospects.

How is data science used in baseball?

In baseball data science involves analyzing player and game data to improve team strategies, player performance, and scouting. Data scientists use statistical models, machine learning, and visualization tools to identify patterns and make data-driven decisions that enhance team success.

How much do MLB statisticians make?

MLB statisticians typically earn between $50,000 and $100,000 annually, depending on experience, role, and team size. Many work as part-time consultants or analysts, often utilizing data analysis tools and statistical software to support team strategies and player evaluations.

How much do MLB data scientists make?

MLB data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether they have specialized skills in statistics, programming, or sports analytics tools.

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

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.
More about Baseball Data Science jobs
What cities are hiring for Baseball Data Science jobs? Cities with the most Baseball Data Science job openings:
What are the most commonly searched types of Baseball Data Science jobs? The most popular types of Baseball Data Science jobs are:
What states have the most Baseball Data Science jobs? States with the most job openings for Baseball Data Science jobs include:
Infographic showing various Baseball Data Science job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Operations Analyst, Baseball Data Platform

Operations Analyst, Baseball Data Platform

Major League Baseball

San Francisco, CA

$70K - $90K/yr

Other

Life, Retirement, PTO

Posted 13 days ago


Job description

The vision of the Baseball Data Platform team is to capture the story of baseball through its data. As an Operations Analyst at MLB, you will fulfill that vision by supporting our customers, tracking and improving data quality, and leveraging data to deliver insights using play-by-play and Statcast tracking data. You will partner closely with world-class software engineers, data scientists, and subject matter experts with the sports' richest and most robust data at your fingertips.

The Operations Analyst, Baseball Data Platform will play a pivotal role in ensuring the accuracy, consistency, and reliability of data across various systems and processes. This role involves collaborating with cross-functional teams to implement and maintain data quality initiatives, as well as providing ongoing support to address data-related issues. The successful candidate will leverage previous experience in sports analytics to enhance the use and reliability of data in decisions across baseball while being open-minded about new data and technology. The candidate should be comfortable working in a fast-paced environment and comfortable balancing communications with multiple internal and external stakeholders. 

The position is based in either San Francisco or New York City with some travel expectations.

Responsibilities

  • Flexibility for weekly support shifts during business hours, nights, and/or weekends to support MLB Club questions/needs and internal baseball technology incident response, including weekly night shifts until the end of MLB games each night (often 2am ET/11pm PT) during the season
  • Triage complex, multi-faceted issues to identify root causes and mitigation steps
  • Work proactively with stakeholders and teammates to identify preventative measures to limit issue impact and recurrence
  • Analyze current operational processes and design streamlined, data-driven workflows to reduce manual effort and human error
  • Act as a Subject Matter Expert (SME) on the Baseball Data Platform team, possessing the practical, end-to-end knowledge necessary to support most operational dependencies relied upon by both internal staff and external partners
  • Pursue and prioritize potential data quality issues and support incidents both proactively and responsively
  • Achieve comprehensive expertise in Baseball Data Platform tools. This includes knowing the who/what/why/how of users of our data
  • Respond directly to inquiries from MLB clubs, broadcasters, and MLB leadership while training others to do so effectively
  • Proactively monitor Major League, Minor League games, dashboards, and internal channels for reported data and technology issues while identifying potential gaps in visibility
  • Collaborate with external data partners and internal teams within the technology group to identify and detect data quality and incident response trends and present findings to MLB leadership and Club/Vendor personnel
  • Collaborate with developers and data engineers to gather requirements for and rigorously test new operational tools (e.g., custom dashboards, mobile scouting applications) before their wider deployment
  • Maintain day-to-day relationships with baseball data partners and coordinate execution of legal agreements, data permissions, and ad hoc requests

Qualifications & Skills

  • 2-3 years of experience with data related to baseball, and/or in technical support/operations roles
  • A track record of the ability to problem solve complex issues, with outstanding critical thinking skills, from initial identification through implementation of preventative measures
  • Proven experience communicating professionally in a customer support role with technical and non-technical users
  • Flexibility to work scheduled night, weekend, and holiday support shifts, especially during baseball season
  • Extremely organized and ability to balance multiple priorities at once in a fast-paced environment
  • An understanding of how MLB Clubs and partners use baseball data in daily operations or related experience is preferred
  • Proactive communicator with internal and external stakeholders with the goal of anticipating what the stakeholders need
  • Highly collaborative in nature and team-oriented
  • Self-motivated, with high standards and a drive towards continuous improvement
  • Familiarity with any of the following is preferred, but not required: baseball tracking systems, APIs, contracts, SQL, Python, R
  • Ability and desire to travel up to 15% for baseball events and team meetings
  • A love of baseball

Salary Range: $70,000 - $90,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits:

  • Competitive Benefits Package
  • Company Contributed 401K Plan
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance