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Baseball Operations Jobs in Michigan (NOW HIRING)

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

Cloud Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

Baseball Attendant

Wixom, MI · On-site

$13 - $17.50/hr

Game & Tournament Operations (50%) * Assist with tournament and game operations, ensuring events run on schedule * Collect gate fees and support front-of-house event logistics * Input scores ...

Baseball Attendant

Wixom, MI

$13 - $17.50/hr

Baseball Attendant Location: Wixom, MI Reports To: Lead Baseball Instructor Employment Type ... Tournament Operations (50%) * Assist with tournament and game operations, ensuring events run on ...

Baseball Attendant

Wixom, MI · On-site

$13 - $17.50/hr

Game & Tournament Operations (50%) * Assist with tournament and game operations, ensuring events run on schedule * Collect gate fees and support front-of-house event logistics * Input scores ...

... baseball. With our focus on fun, safety, convenience, and good sportsmanship, i9 Sports is ... Supervise the overall operation of designated sport on game day * Consistently demonstrate a ...

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Baseball Operations information

See Michigan salary details

$9

$22

$46

How much do baseball operations jobs pay per hour?

As of May 30, 2026, the average hourly pay for baseball operations in Michigan is $22.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $26.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Baseball Operations, and why are they important?

To thrive in Baseball Operations, you need a solid understanding of baseball analytics, player evaluation, and organizational management, often supported by a degree in sports management, statistics, or a related field. Familiarity with analytics software like R, SQL databases, and scouting systems is highly valued, as are certifications in sports administration or data analysis. Strong communication, attention to detail, and teamwork skills help professionals collaborate effectively across departments and translate data into actionable insights. These skills are crucial for building competitive teams, making data-driven decisions, and ensuring the smooth operation of a baseball organization.

What are some common challenges faced by professionals working in Baseball Operations, and how can they be addressed?

Professionals in Baseball Operations often encounter challenges such as balancing analytical data with scouting intuition, managing a high volume of player information, and coordinating communication between coaches, scouts, and front office staff. Time management is crucial, especially during the season when roster decisions and player acquisitions happen quickly. To address these challenges, it's important to develop strong organizational skills, stay current with industry technology, and foster effective collaboration across departments. Building relationships with both analytical and traditional baseball personnel can also enhance decision-making and team success.

What are baseball operations?

Baseball operations refer to the department within a baseball organization responsible for all aspects of building and managing the team on the field. This includes player scouting, drafting, trades, analytics, player development, and contract negotiations. The baseball operations staff works behind the scenes to assemble the roster, develop talent, and make strategic decisions that impact the team's performance. Positions in baseball operations can range from general managers and scouts to analysts and player development coordinators.

What is the difference between Baseball Operations vs Baseball Analytics?

AspectBaseball OperationsBaseball Analytics
CredentialsDegree in sports management, business, or related fields; experience in baseballDegree in statistics, data science, or related fields; proficiency in data analysis tools
Work EnvironmentTeam offices, stadiums, collaboration with scouts and coachesData centers, software platforms, collaboration with analysts and front office
Employer & Industry UsageMajor and minor league teams, MLB front officesTeams, analytics firms, sports data companies

Baseball Operations encompasses the broader management of team activities, including player transactions, scouting, and game strategy. Baseball Analytics focuses specifically on data analysis to inform decisions. While both roles collaborate closely, Baseball Operations handles overall team management, whereas Baseball Analytics provides data-driven insights to support those decisions.

What are the most commonly searched types of Baseball Operations jobs in Michigan? The most popular types of Baseball Operations jobs in Michigan are:
What are popular job titles related to Baseball Operations jobs in Michigan? For Baseball Operations jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Baseball Operations jobs? Cities in Michigan with the most Baseball Operations job openings:
Infographic showing various Baseball Operations job openings in Michigan as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,579 per year, or $22.9 per hour.
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 11 days ago


Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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