Data Scientist, Baseball Analytics

Baltimore Orioles; Baltimore (MD); On-site; USD 77,000 - 104,000; Full time

Benefits offered by this job

Unlimited PTO

Paid holidays

Paid sick leave

Health insurance (single and family)

Vision and dental coverage

Life insurance

401(k) plan with discretionaryEmployer

Concession and merchandise discounts

Free parking

Complimentary baseball tickets to home

Job summary

The Baltimore Orioles are seeking a Data Scientist focused on Baseball Analytics to develop models and data-driven products that support talent acquisition, development, and deployment.

The role emphasizes predictive modeling, data pipelines, and trustworthy analytics, turning research into decisions that improve on-field outcomes and communicating findings to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s Degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or an equivalent field.
• 1+ years of professional data science experience.
• Proficiency with R or Python.
• Experience with statistical analyses and large datasets.
• Experience building or maintaining data pipelines.
• Strong interest in baseball and analytics.
• Strong communication and presentation skills.
• Excellent interpersonal and collaboration skills.

Responsibilities

• Clean, organize, and validate data from source databases.
• Build and maintain quantitative models using R or Python.
• Write clean, well-documented code and annotate methods and results.
• Design tests to ensure model accuracy and reliability.
• Automate data pipelines and deliver usable tools for end users.
• Present findings to technical and non-technical stakeholders.
• Collaborate with end users to gather feedback and inform product development.
• Evaluate, recommend, and integrate new data sources.
• Use modern AI tools to increase productivity while maintaining analytical judgment.

Skills

R

Python

SQL

Stan

PyMC

Education

Bachelor's Degree

Tools

Git

Job description

As a Data Scientist focused on Baseball Analytics, you will develop models and data-driven products that support the Baltimore Orioles in acquiring, developing, and deploying talent more effectively. The role turns research into decisions intended to improve on-field outcomes, emphasizing predictive modeling, data pipelines, and trustable analytics.

Responsibilities

• Clean, organize, and validate data from source databases.
• Build, improve, and maintain quantitative models using R or Python, applying a range of approaches and selecting methods appropriate to each task.
• Write clean, efficient, well-documented code in line with industry best practices; document methods, assumptions, and results.
• Design and run appropriate tests to help ensure model accuracy and reliability.
• Partner with the development team to automate data pipelines and deliver usable tools for end users.
• Present findings clearly to technical and non-technical stakeholders, including proactive communication with leadership and teammates.
• Collaborate with end users to gather feedback, understand modeling needs, and inform product development.
• Evaluate, recommend, and integrate new data sources.
• Use modern AI tools and agentic workflows (for example, coding assistants) to increase productivity, while verifying outputs and applying sound analytical judgment.

Required Qualifications

• Completed Bachelor’s Degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or an equivalent field.
• 1+ years of prior professional experience in data science or a closely related role.
• Proficiency with R or Python.
• Experience conducting statistical analyses, data mining, and working with large datasets.
• Experience building or maintaining data pipelines, or partnering with developers to automate workflows.
• Strong interest in baseball and baseball analytics.
• Strong communication and presentation skills.
• Excellent interpersonal skills and the ability to collaborate with teammates and cross-functional partners.

Preferred Qualifications

• Experience with database languages (for example, SQL).
• Experience with machine learning, Bayesian methods, and probabilistic programming, such as Stan and PyMC.

Technologies

• R
• Python
• SQL
• Stan
• PyMC

Compensation and Location

Salary: USD 90,000 per year.

Location: Baltimore, MD (onsite).

Benefits

• Unlimited PTO
• Paid holidays
• Paid sick leave
• Health insurance (single and family)
• Vision and dental coverage
• Life insurance
• 401(k) plan with discretionary employer match
• Concession and merchandise discounts
• Free parking
• Complimentary baseball tickets to home games

Application Questions

• This position is in-person. Are you located near Baltimore, MD? If not, will you relocate?
• Are you legally authorized to work in the U.S.?
• Do you currently, or will you in the future, require an employer to sponsor you for work authorization in the United States (for example, an H1B, E3, or TN visa)?