Data Scientist, Baseball Analytics

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.

• 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.

• 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.

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

• R
• Python
• SQL
• Stan
• PyMC

Salary: USD 90,000 per year.

Location: Baltimore, MD (onsite).

• 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

• 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)?