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Mlb Data Science Jobs (NOW HIRING)

... MLB, CS2, etc.). * Partner cross-functionally with Product, Engineering, Pricing, and BizOps to ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of ... Proficiency in statistical life data analysis Strong knowledge of Semiconductor package integration ...

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of ... Proficiency in statistical life data analysisStrong knowledge of Semiconductor package integration ...

Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All ...

Minimum Qualifications BS in Materials Science, Electrical, Mechanical Engineering or an equivalent ... Proficiency in statistical life data analysis Strong knowledge of Semiconductor package integration ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB ...

$75K - $95K/yr

Minimum Qualifications * BS in Materials Science, Electrical, Mechanical Engineering or an ... Proficiency in statistical life data analysis * Strong knowledge of Semiconductor package ...

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

$91K - $120K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * 5+ years of ... We've collaborated with esteemed clients such as Apple, Google, Tesla, NASA, the NFL, and the MLB.

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Mlb Data Science information

What is an MLB Data Science?

An MLB Data Science job involves analyzing baseball data to provide insights that can improve team performance, player evaluation, and strategic decision-making. Data scientists in MLB work with large datasets, including player statistics, game data, and biomechanics, using machine learning, statistical modeling, and data visualization. They collaborate with coaches, scouts, and front-office personnel to translate data into actionable strategies. This role requires expertise in programming languages like Python or R, database management, and a deep understanding of baseball analytics.

What are some typical projects or responsibilities for an MLB Data Science role?

In an MLB Data Science role, you can expect to work on a variety of projects such as player performance modeling, injury prediction, opponent analysis, and game strategy optimization. Your daily responsibilities may include collecting and cleaning data from various sources, developing predictive models, and presenting findings to coaches and front office staff. Collaboration is a significant aspect of the job, as you'll often work closely with scouts, coaching staff, and other analysts to translate data into actionable strategies. This dynamic environment offers frequent opportunities to contribute directly to on-field success and influence key organizational decisions.

What are the key skills and qualifications needed to thrive in the MLB Data Science position, and why are they important?

To thrive as an MLB Data Science professional, you need a strong background in statistics, data analysis, and machine learning, often supported by a degree in data science, mathematics, or a related field. Mastery of programming languages like Python or R, experience with SQL databases, and familiarity with sports analytics platforms such as Trackman or Statcast are typically essential. Strong problem-solving abilities, communication skills, and a collaborative mindset are key for interpreting results and working with coaches, analysts, or executives. These skills are important for deriving actionable insights from complex data, positively impacting team performance and decision-making within Major League Baseball organizations.

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, machine learning, or programming tools like Python and R.
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Infographic showing various Mlb Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Data Analyst, Baseball Data Platform

San Francisco, CA • On-site

SupportFinity™
IT Services • 51 - 200 employees

$120K - $140K/yr

Other

Life, Retirement, PTO

Posted 22 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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