Data Scientist, Baseball Analytics

About the role

Data Scientists in Baseball Analytics build models and products that help the Baltimore Orioles acquire, develop, and deploy talent more effectively. This role exists to turn rigorous research into decisions that improve outcomes on the field, partnering with other departments and leadership in a collaborative, high-trust environment. The Data Scientist will build high-quality predictive models and data pipelines, conduct and incorporate advantage-seeking research, and ensure information and tools are trusted and used. Success means delivering work that is accurate, well-tested, clearly communicated, and tied to organizational decision-making, with curiosity, humility, integrity, and a competitive drive to keep getting better. Located at Oriole Park at Camden Yards in Baltimore, MD.

Responsibilities

• Clean, organize, and validate data from source databases.
• Build, improve, and maintain quantitative models using R or Python across a range of approaches, selecting the method appropriate to the task.
• Write clean, efficient, well-documented code following industry best practices; document methods, assumptions, and results; design and run appropriate tests to ensure accuracy and reliability.
• Partner with the development team to automate data pipelines and create usable tools for end users.
• Present findings clearly to technical and non-technical stakeholders; communicate proactively with leadership and teammates.
• Work with end users to gather feedback, understand modeling needs, and inform product development; raise constructive ideas for improvements to models and processes.
• Evaluate, recommend, and integrate new data sources.
• Effectively use modern AI tools and agents (e.g., coding assistants and agentic workflows) to improve productivity, while verifying outputs and applying sound analytical judgment.

Requirements

Completed Bachelor's Degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or equivalent.

Prior professional experience (1+ years) in data science or closely related role.

Proficiency with R or Python.

Experience with statistical analyses, data mining techniques, and working with large datasets.

Experience building or maintaining data pipelines or partnering with developers to automate workflows.

Deep passion for baseball and baseball analytics.

Strong communication and presentation skills.

Excellent interpersonal skills; collaborates well with teammates and cross-functional partners.

Skills

Desired experience with database languages (e.g. SQL).

Experience with machine learning, Bayesian methods, and probabilistic programming (e.g. Stan, PyMC).

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/merchandise discounts
• Free parking
• Complimentary baseball tickets to home games

Pay

The anticipated base salary for this role is $90,000 annually depending on experience.

Schedule

Full-time, Exempt position.