Data Scientist, Machine Learning

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.

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
• 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

Benefits

• Staff tickets to Magic home games
• Learning and development opportunities
• Employee Resource Groups (ERGs)
• Company sponsored events
• Volunteer opportunities & outings for every employee
• Medical
• Dental
• Vision
• 401(k) with company matching
• Mental wellness resources
• Subsidized gym memberships
• Maternity & paternity leave