Athletics · 22 hours ago
Data Scientist
Athletics is a baseball team with a rich history and a commitment to innovation, seeking a Data Scientist for their Baseball Operations Department. The role involves constructing statistical models to inform decision-making and collaborating with analytics staff to integrate findings into tools for player evaluation and performance optimization.
BaseballRecreationSports
Responsibilities
Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization
Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation
Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations
Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research
Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs
Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences
Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement
Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment
Qualification
Required
PhD in Mathematics, Statistics, Computer Science, or a related quantitative field
Proficiency in SQL, R, Python, or other similar programming languages
Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques
Proven experience productionizing machine learning models in cloud environments
Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences
Demonstrated ability to independently design, implement, and present rigorous quantitative research
Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies
Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment
Preferred
Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression
Previous experience in sports analytics, ideally baseball, is a plus
Familiarity with integrating biomechanical data into analytical frameworks
Company
Athletics
The Athletics franchise is one of the most storied baseball clubs with a total of nine World Series championships.
Funding
Current Stage
Growth StageLeadership Team
Recent News
Sports Business Journal
2026-01-07
Sports Business Journal
2025-12-03
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