Data Scientist, Machine Learning

Orlando Magic•Orlando, FL

4d•Onsite

About The Position

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and player development. This role will own key parts of the model development lifecycle, from experimentation and training to production deployment, with a focus on spatiotemporal modeling, scalable data pipelines, and reliable model delivery. This is an in-person opportunity in Orlando, FL.

Requirements

Bachelor’s in Computer Science, Statistics, Math or related field.
1+ years of experience with Python and SQL, with solid software engineering fundamentals including testing, version control, and maintainable code practices.
1+ years of experience with applied machine learning techniques, with fluency across tree-based methods, deep learning, and modern modeling workflows.
1+ years of experience with building, deploying, and maintaining end to end machine learning systems in production environments.
Passion for basketball and an understanding of the basketball analytics space.
Willingness to work long and irregular hours with a flexible schedule based on the changing priorities of the department.
Willingness to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
Proficient in all Microsoft Office products and other related computer skills required.
Ability to meet tight deadlines and work well under pressure.
Strong organizational skills, time management skills and attention to detail required.
Strong verbal and written communication skills with an emphasis on business writing skills.
Ability to prioritize and manage multiple tasks/projects.
Ability to work independently without supervision, be self-directed and demonstrate initiative.
Strong team synergy skills and ability to work collaboratively with others whom you have no direct authority over.
Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
Exhibit good judgment and decision-making skills.

Responsibilities

Build and productionize machine learning models that support basketball decision making.
Design and maintain scalable systems and pipelines for data processing, training, inference, and monitoring.
Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools.
Establish best practices for testing, validation, documentation, versioning, and model observability.
Develop modeling approaches that translate basketball data into clear, actionable insights.
All other duties as assigned.