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Mlb Data Science Jobs (NOW HIRING)

... MLB, NBA, NFL, and MLS All-Star Games. Job Summary The E15 Analyst supporting Levy at Dodger ... Degree in business analytics, finance, economics, computer science, or a related field. * An ...

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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.

Systems and Network Engineer

Saint Louis, MO โ€ข On-site

St. Louis Cardinals
Finance and Insuranceย โ€ขย 51 - 200 employees

Full-time

Posted 8 days ago


Job description

Job Summary:

The Systems & Network Engineer is a hands-on technical resource for the organization's enterprise network and core infrastructure. This role engineers, secures, monitors, and supports network, firewall, wireless, virtualization, storage, server, backup, and related platforms. Working with Information Technology staff, Major League Baseball, Ardent, vendors, and business stakeholders, the engineer delivers approved infrastructure improvements and reliable support for daily operations, game days, and events.

Job Duties:

Infrastructure Engineering:

  • Design, implement, administer, and maintain approved network and systems solutions, including Cisco switching and routing, Palo Alto firewalls, VLANs and network segmentation, VPNs, wireless, virtualization, storage, servers, backups, monitoring, and core services.
  • Monitor infrastructure availability, capacity, performance, and security; troubleshoot complex issues, perform root cause analysis, and implement sustainable corrective actions.
  • Apply organizational standards, cybersecurity controls, lifecycle practices, and operational requirements while recommending improvements to reliability, scalability, and security.

Projects & Change Delivery:

  • Execute approved infrastructure projects, including deployments, upgrades, migrations, hardware refreshes, disaster recovery improvements, and enterprise platform implementations; prepare implementation, testing, rollback, change, and documentation plans.
  • Coordinate technical activities with Information Technology staff, MLB, Ardent, vendors, and external partners, and elevate material risks, dependencies, or decisions to Information Technology leadership.

Stadium & Operational Support:

  • Administer and support Busch Stadium wireless infrastructure, including Extreme Networks technologies; analyze health, performance, capacity, and security trends and coordinate approved improvements.
  • Serve as an advanced escalation resource for network and infrastructure incidents and support game days, special events, and planned after-hours maintenance as business needs require.
  • Maintain accurate infrastructure documentation, diagrams, configurations, standards, and operating procedures to support continuity and knowledge transfer.

Technical Collaboration:

  • Provide technical guidance and knowledge sharing to Information Technology staff and contribute engineering input to standards, capacity planning, and infrastructure roadmaps.
  • Evaluate relevant technologies and present recommendations, tradeoffs, and implementation considerations to Information Technology leadership.
  • Perform other related duties and special projects as assigned.

Education/Experience Required:

  • Bachelor's degree in information technology, Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.
  • Five to seven years of progressively responsible experience designing, implementing, and supporting enterprise network infrastructure and systems.
  • Advanced knowledge of TCP/IP, routing, switching, VLANs, spanning tree, QoS, wireless networking, network segmentation, and VPN technologies.
  • Hands-on experience with Cisco enterprise networking and Palo Alto firewall platforms.
  • Experience supporting virtualization, storage, server, backup, monitoring, logging, and performance analysis technologies.
  • Strong understanding of enterprise cybersecurity principles and secure network architecture.
  • Advanced troubleshooting and root cause analysis skills across networking, servers, virtualization, storage, and security technologies.
  • Ability to execute multiple infrastructure projects within approved priorities and maintain clear technical and change documentation.
  • Strong analytical, organizational, collaboration, and communication skills, including the ability to explain technical concepts to technical and non-technical audiences.
  • Ability to access equipment throughout office buildings, data centers, telecommunications rooms, and stadium facilities and to work evenings, weekends, holidays, and scheduled maintenance windows as business needs require.

Experience/Education Preferred:

  • Advanced degree in Information Technology, Computer Science, Engineering, or a related field, or additional directly relevant experience.
  • Seven or more years of enterprise infrastructure engineering experience, including serving as the technical lead for significant implementations.
  • Experience administering Extreme Networks switching and wireless infrastructure in stadium, venue, or other high-density environments.
  • Experience supporting technology in Major League Baseball or another professional sports organization.
  • Relevant industry certifications such as CCNP, PCNSE, VCP, or similar.