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Mlb Data Science Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/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 ...

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 ...

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 ...

Ask IT consulting

Business Analyst

Atlanta, GA · On-site

... Analyzes science, engineering, business, and all other data processing problems to determine ... Knowledge of MLB/Apollo * Ability to share consistent information flows * Clearly articulates and ...

CSA Global LLC

Operations Manager IV

Arlington, VA · Hybrid

... PEO MLB) at Naval Support Facility Arlington, VA. The Operations Manager IV will provide senior ... ADE consolidates MyNavyHR data into a secure, cloud-based Infrastructure as a Service (IaaS ...

CSA Global LLC

Operations Manager IV

Arlington, VA · On-site

... PEO MLB) at Naval Support Facility Arlington, VA. The Operations Manager IV will provide senior ... ADE consolidates MyNavyHR data into a secure, cloud-based Infrastructure as a Service (IaaS ...

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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.

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:
What job categories do people searching Mlb Data Science jobs look for? The top searched job categories for Mlb Data Science jobs are:
Mlb Data Science jobs near you
Infographic showing various Mlb Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

$65K/yr

Full-time

Re-posted 11 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description - This position is 100% Remote
Duties:
  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:
  • Minimum of 3 years of in-game play experience at an online sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate + convert odds on the fly
  • Results driven work ethic - focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:
  • Bachelor's Degree in a STEM discipline
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $65,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Trading Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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