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Mlb Data Science Jobs (NOW HIRING)

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$130K - $156K/yr

San Diego Studio, maker of MLB The Show, is looking to add a Data Platform Engineer to our All-Star ... You will work closely with Data Engineering and Data Science teams to maintain reliable, secure ...

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$125K - $188K/yr

San Diego Studio, maker of MLB The Show, is looking to add a Data Platform Engineer to our All-Star ... You will work closely with Data Engineering and Data Science teams to maintain reliable, secure ...

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Mlb Data Science information

What is an MLB Data Science job?

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.

How much do MLB data operations get paid?

MLB data operations roles typically offer salaries ranging from $50,000 to $100,000 annually, depending on experience, education, and specific responsibilities. Entry-level positions may start lower, while experienced data analysts or scientists can earn higher salaries, especially with skills in statistical analysis, programming, and familiarity with baseball data tools.

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 location. They often work with advanced analytics, statistical modeling, and data visualization tools to support team decisions and player performance analysis.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team operations using statistical tools and data analysis techniques. These roles often require skills in programming, data modeling, and knowledge of baseball metrics, and they contribute to decision-making and competitive advantage.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or related fields, often holding a bachelor's degree in statistics, computer science, or a similar discipline. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of baseball metrics are important. Gaining experience through internships or projects related to sports analytics can also improve prospects in this specialized field.
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Mlb Data Science jobs near you
Data Science Manager - Market Origination

Data Science Manager - Market Origination

PrizePicks

Atlanta, GA • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
What you'll do:
  • Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality.
  • Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination.
  • Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.).
  • Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage.
  • Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog.
  • Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring.
  • Ensure data integrity and modeling quality across all origination efforts.

What you have:
  • 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to line setting, trading, or player performance modeling.
  • Strong technical foundation in data science, statistics, or software engineering.
  • Demonstrated management experience - leading, mentoring, and scaling high-output teams.
  • Proficiency in SQL and Python or R; experience with predictive modeling, forecasting, and statistical techniques.
  • Deep understanding of how player props and sports/esports markets are structured, originated, and modeled.
  • Proven track record of driving complex projects from ideation through launch in a fast-paced environment.
  • Strong communicator who thrives at the intersection of data, product, and operations.

Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $160,000 to $190,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your
recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 05/11/26
Reposted: 6/22/26
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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