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Baseball Data Science Jobs (NOW HIRING)

Cincinnati Reds

Data Engineer

Cincinnati, OH

$111K - $134K/yr

Information Technology - Baseball Data amp; Development FLSA Status: Full-Time, Salary Exempt Date ... Bachelor degree or equivalent experience in a computational science or technical field Experience ...

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Information Technology - Baseball Data & Development FLSA Status: Full-Time, Salary Exempt Date ... Bachelor degree or equivalent experience in a computational science or technical field Experience ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-art prediction models * Use excellent data science ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-artprediction models * Use excellent data science ...

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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 Aug 25, 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.

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 do baseball data scientists 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 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.

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.

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What cities are hiring for Baseball Data Science jobs?

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What are the most commonly searched types of Baseball Data Science jobs?

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Baseball Data Science jobs near you
Infographic showing various Baseball Data Science job openings in the United States as of August 2026, with employment types broken down into 14% Internship, 43% Full Time, and 43% Part Time. Highlights an 100% In-person job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Analyst, Baseball Data Platform

San Francisco, CA • On-site

SupportFinity™
51 - 200 employees
Learn more about SupportFinity™external

$120 - $140/hr

Other

Life, Retirement, PTO

Posted 7 days ago

Job description

Senior Data Analyst, Baseball Data Platform

Major League Baseball (MLB) – Posted Mar 13, Full-time

Our Baseball Data Platform team is looking for a Senior Data Analyst. The vision of the team is to capture the story of baseball through its data. As a Senior Data Analyst at MLB, you will fulfill that vision with play-by-play and Statcast tracking data by supporting our customers, tracking and improving data quality, and leveraging data to deliver insights. 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.

Responsibilities
  • Investigate potential data quality issues both proactively and responsively
  • Lead large data initiatives focused on strategic R&D goals, including increasing the scalability of alerting and resolving outlier data
  • Implement high impact process changes with our support team based on internal operations data and logging
  • Achieve comprehensive expertise in Baseball Data Platform. This includes knowing the schema, data lineage, and optimal usage patterns of all critical tables (e.g., pitch-by-pitch data, tracking data, weather data, etc.)
  • Respond directly to inquiries from MLB clubs, broadcasters, and MLB leadership
  • Define and enforce high standards for data documentation, code review, and statistical best practices within the R&D data team
  • Build optimized queries and statistical reports/models, as appropriate, to identify and detect trends and present findings to MLB and Club personnel
  • Design and produce reports delivering insights
  • Collaborate with the Statcast engineering, product, data science, and content teams to produce the next generation of storytelling metrics
  • Manage user accounts, permissions, and security protocols across key systems, ensuring compliance and data security standards are met
  • Test/validate new data and metrics, and contribute input to their development
  • Serve as the team's go-to resource for complex data problems. This involves assisting teammates with debugging inefficient queries, locating obscure data points, and understanding nuanced data definitions.
Qualifications & Skills
  • 5+ years of experience with data related to baseball
  • Experience communicating professionally in a customer support role with technical and non-technical users
  • Critical thinking skills and the ability to apply analytical insights to create positive change
  • Self-motivated to seek out previously unidentified problems, resolve, and then scale them
  • Highly collaborative in nature and team-oriented
  • Proactive communicator with internal and external stakeholders
  • Substantive knowledge of SQL or similar database querying experience
  • Experience using R and/or Python for data analysis in a professional setting
  • Knowledge of data visualization software like Looker or Tableau preferred
  • Familiarity with baseball tracking systems, especially Statcast, is preferred
  • Familiarity with data pipeline tools and best practices for scheduled processing and ETL/ELT is a plus
  • Ability and desire to travel at times for baseball events and team meetings
  • A love of baseball!

Salary Range: $120,000 - $140,000 (Base Salary) + Bonus

Perks & Benefits
  • Competitive Benefits Package
  • Company 401K Contribution
  • 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
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