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Baseball Data Science Jobs in Ohio (NOW HIRING)

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Information Technology - Baseball Data amp; Development FLSA Status: Full-Time, Salary Exempt Date ... Bachelor degree or equivalent experience in a computational science or technical field Experience ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Information Technology - Baseball Data & Development FLSA Status: Full-Time, Salary Exempt Date ... Bachelor degree or equivalent experience in a computational science or technical field Experience ...

Baseball Data Science information

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How do baseball data scientists collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What are the key skills and qualifications needed to thrive as a baseball data scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What cities in Ohio are hiring for Baseball Data Science jobs?

Cities in Ohio with the most Baseball Data Science job openings:

Infographic showing various Baseball Data Science job openings in Ohio as of August 2026, with employment types broken down into 11% Internship, 48% Full Time, and 41% Part Time. Highlights an 100% In-person job distribution.

Data Engineer

Cincinnati, OH • On-site


Cincinnati Reds
201 - 500 employees

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer


$111K - $134K/yr

Full-time

Posted 14 days ago


Job description

Job Description: Data Engineer
Department: Information Technology – Baseball Data amp; Development
FLSA Status: Full-Time, Salary Exempt
Date Created: 10/01/2022
Date Reviewed: 08/13/2026
Job Summary:
The Data Engineer will work closely with the Data team and the Baseball Systems team to maintain, enhance, and extend the Cincinnati Reds data pipelines. You will be responsible for collecting and transforming data from various sources as well as preparing and distributing data for consumption by the department’s systems and analysts. The ideal candidate is an experienced data pipeline builder who excels at automating and optimizing data systems, with a strong preference for cloud experience.
Requirements
Category
Details
Education
  • Bachelor degree or equivalent experience in a computational science or technical field
Experience
  • 2+ years professional experience
Skills
  • Proficiency in SQL, query optimization, indexing strategies
  • Strong Python for data processing (PySpark)
  • Familiarity with DevOps practices, Git integrations, CI/CD (Azure DevOps)
  • Experience with cloud-native tools and technologies (Azure, GCP, AWS)
  • Building, optimizing, and maintaining ETL/ELT pipelines
  • Basic infrastructure-as-code (Terraform, CloudFormation)
  • Understanding of real-time data processing (Kafka, Kinesis)
  • Experience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)
Other
  • Spoken and written fluency in English.
  • Ability to travel within the United States, preferred, as directed
  • Willing to relocate. This position is based in Cincinnati, OH
Primary Duties amp; Responsibilities
Duty
Description
Pipeline Development – 40%
  • Build, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.
Data Optimization – 20%
  • Write efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.
Cloud amp; Workflow Management – 15%
  • Utilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.
System Management – 15%
  • Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.
Collaboration amp; Process – 5%
  • Participate in code reviews and proactively improve workflows to support team knowledge sharing.
Other – 5%
  • Other duties as assigned.
Reports To: Senior Manager, Data Engineer
Next Role to Develop Toward: Senior Data Engineer
  • Development Requirements:
    • Owns small to mid-sized projects with minimal oversight.
    • Proactively improves processes and optimizes workflows.
    • Contributes to code reviews and knowledge sharing.
Physical Requirements:
  • Ability to stand and walk for extended periods throughout the day.
  • Comfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).
  • Ability to handle repetitive tasks.
  • Sufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.
  • Ability to available for long shifts and to work long and variable hours, including weekends and holidays.
Expectations:
  • Adhere to Cincinnati Reds Organization Policies and Procedures.
  • Act as a role model within and outside the Cincinnati Reds Organization.
  • Perform duties as workload necessitates.
  • Demonstrate flexible and efficient time management and ability to prioritize workload.
  • Meet department productivity standards.
  • Willingness to learn. Open to new methodologies

Equal Opportunity Statement:
The Cincinnati Reds are an Equal Opportunity Employer. It is the policy of the Cincinnati Reds to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.

Disclaimer:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The above description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Additional duties, as assigned, may become part of the job function. The duties listed above are, therefore, a partial representation not intended to be an exhaustive list of all responsibilities, duties, and skills required of a person in this position.


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