Baseball Analytics Fellow

Colorado Rockies•Denver, CO

1d•Onsite

About The Position

The Baseball Analytics Fellow will support Baseball Operations and Research & Development by preparing, analyzing, and communicating data-driven insights that inform game strategy, player evaluation, scouting, and player development processes. This role is designed for an early-career analyst with strong technical skills, intellectual curiosity, and a desire to apply quantitative methods to meaningful baseball questions. In this role, you will work with analysts, coaches, scouts, and Baseball Operations leadership to develop reports, visualizations, models, and research outputs that are clear, timely, and actionable. The ideal candidate is highly autonomous, communicates frequently, manages up effectively, and is comfortable supporting fluctuating baseball-season workflows.

Requirements

Bachelor’s degree in a technical, quantitative, or otherwise relevant field, or equivalent demonstrated experience.
Proficiency with SQL and at least one statistical programming language, such as R or Python.
Experience preparing, cleaning, validating, and analyzing large or complex datasets.
Foundational understanding of statistics, modeling, data visualization, and research design.
Strong written and verbal communication skills, including the ability to explain analytical work to technical and non-technical audiences.
Demonstrated ability to work autonomously, manage competing priorities, communicate frequently, and proactively surface questions or risks.
Passion for baseball and curiosity about using data to support player evaluation, player development, scouting, and in-game decision-making.

Nice To Haves

Degree or coursework in statistics, mathematics, computer science, data science, engineering, economics, operations research, physics, or a related technical field.
Experience with AWS or another cloud environment.
Experience using Git or similar version control workflows.
Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

Responsibilities

Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
Coordinate and deliver advanced reports to Major League staff in a timely, usable format.
Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.
Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.
Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
Contribute to a positive, curious, and collaborative Baseball Operations environment.