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Mlb Data Science Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

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 ...

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Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/yr

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 ...

TeamWork Online

Customer Success Associate

Partner cross-functionally with Trading, Product, Engineering, and Data Science teams to resolve ... S. sports (NBA, NFL, MLB, NHL, NCAA) * Ability to manage multiple client conversations ...

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Kalshi

Sports Operations Engineer

New York, NY · On-site

$76K - $102K/yr

Create intelligent systems that handle pre-game, in-play, and futures markets across NFL, NBA, MLB ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Kalshi

Sports Operations Engineer

New York, NY

$76K - $102K/yr

Create intelligent systems that handle pre-game, in-play, and futures markets across NFL, NBA, MLB ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

STS Technical Services

Senior Engineer

Melbourne, FL · On-site

$96K - $133K/yr

... at MLB. This position is ideal for an experienced aviation engineer with a strong liaison ... Bachelor of Science degree in Engineering from an ABET-accredited college or university required

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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.
More about Mlb Data Science jobs
What states have the most Mlb Data Science jobs? States with the most job openings for Mlb Data Science jobs include:
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Mlb Data Science jobs near you
Associate Software Engineer

Associate Software Engineer

Major League Baseball

San Francisco, CA • On-site

$90K - $120K/yr

Full-time

Life, Retirement, PTO

Posted 5 days ago

Job description

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and beyond, the Baseball Data Platform is the bedrock of all Major League Baseball stats. Used by fans, broadcasters, stadiums, MLB Clubs, and across the league, if you've seen a data point about baseball, there's a good chance it started here.
We are seeking software engineers who possess a strong passion for developing new technologies within the baseball industry. This position provides the opportunity to collaborate with world-class engineers, product developers, and designers; contribute to acclaimed and sophisticated applications and systems; influence the innovation of products utilized by millions globally; and work within a highly collaborative, results-oriented team environment.
Responsibilities
Coding
  • Write clean, concise, modular code that is easily testable
  • Contribute to the Baseball Data API layer that powers baseball stats across the organization
  • Design and build consistent, easy to use UIs, working with our operations partners to ensure their needs are met
  • Utilize and contribute to applications deployed on Google Cloud Platform (GCP) and at edge inside ballparks

Collaboration
  • Participate in an agile environment.
  • Participate in the full software development lifecycle (requirements gathering, designing, building, testing and maintenance)
  • Collaborate with other engineers in code reviews, pair programming, and design sessions

Technology
  • Drive innovation in products utilized by millions globally
  • Collaborate with leading data scientists on areas such as data analysis, machine vision, and Natural Language Processing (NLP)
  • Introduce and champion technologies you are passionate about
  • Develop technology used by all 30 Major League teams, every national and regional broadcast, and across the MLB organization
  • Change the way baseball is consumed

Qualifications & Skills
  • An undergraduate degree computer science or related field
  • An avid learner, independent with excellent problem-solving skills
  • Willingness to dive into any part of the system to understand and deliver the best solution
  • Eager to learn new technologies and tools
  • Ability to collaborate with other engineers
  • Experience with modern web technologies (React, TypeScript, NodeJS)
  • Experience designing or consuming APIs that serve frontend applications (Java, Spring, SQL, NestJS)
  • Familiarity with Terraform
  • Exposure to Google Cloud Platform
  • Familiar with messaging queues: ActiveMQ, Kafka
  • Familiarity with SQL databases like Postgres and SQL concepts
  • Knowledge of big data concepts and related languages/tools, such as BigQuery or Bigtable

Salary Range: $90,000 - $120,000 (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 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

Why MLB?
Major League Baseball (MLB) is the most historic of the major professional sports leagues in the United States and Canada. Employees love working at MLB because of the culture of growth, teamwork, and professionalism. Employees who are most successful at MLB take initiative, know how to identify problems and provide solutions, and always put the Team first. For those ready to step up to the plate and join the major leagues, MLB takes the same approach as teams do with their players: empowering our "workforce athletes" to be at their best by engineering experiences that put employees in the best position to succeed. Major League Baseball is looking for candidates who are passionate about growing America's pastime to best serve its fans for decades to come.
California Residents: Please see our California Recruitment Privacy Policy for more details.
Colorado Residents: Colorado based applicants may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Applicants requiring a reasonable accommodation for any part of the application and hiring process, please email us at accommodations@mlb.com. Requests received for non-disability related issues, such as following up on an application, will not receive a response.
Are you ready to Step Up to the Plate? Apply below!

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