Fitting Research Engineer

About the role

The Fitting Research Engineer plays a crucial role in advancing golf fitting from an evidence-based practice to a competitive advantage. This position involves developing and validating analytical and software systems to optimize golf equipment for individual players.

Responsibilities

• Build and own data pipelines capturing and structuring large volumes of equipment and player performance data
• Deploy machine learning models and recommendation systems to match players to optimal equipment configurations
• Lead experimental studies testing hypotheses about equipment performance and player outcomes
• Develop internal tools, APIs, and applications bringing fitting intelligence to fitters, retail partners, and golfers
• Collaborate with R&D, product engineering, tour operations, and marketing to translate research findings into product and fitting decisions
• Communicate findings clearly and compellingly to both technical and non-technical audiences

Requirements

• Strong foundation in statistical modeling, analytical experiment design, and hypothesis testing
• Practical knowledge and experience in physical experiment design and data collection
• Hands-on experience with machine learning frameworks and recommendation system architectures
• Proficiency in programming (Python, MATLAB), version control, and databases
• Experience building and deploying software in production environments
• Familiarity with or basic understanding of mechanical simulation/physics-based modeling
• Strong communicator who can translate complex analytical findings into clear, accessible language
• Self-directed and intellectually curious, able to ask good questions and pursue solutions
• Organized and detail-oriented, able to manage multiple workstreams in a fast-paced environment
• Knowledge of golf, the game, equipment, fitting process, and instruction

Education, Work Experience, And Professional Certifications

• B.S., M.S., or Ph.D. in Data Science, Computer Science, Statistics, Systems Engineering, or a related quantitative field
• Prior experience in an industry setting with exposure to modern software development and deployment practices
• Prior experience in sports science, biomechanics, or consumer-facing recommendation systems

Knowledge And Skills Requirements

• Technical Expertise: Statistical modeling, analytical experiment design, and hypothesis testing; practical knowledge and experience in physical experiment design and data collection; proficiency in programming (Python, MATLAB); experience building and deploying software in production environments; familiarity with or basic understanding of mechanical simulation/physics-based modeling
• Interpersonal and Professional Skills: Strong communicator, collaborative, self-directed, organized, detail-oriented, able to manage multiple workstreams in a fast-paced environment

Work Environment / Physical Requirements

• Primary office environment with significant computer use; occasional travel to test facilities, retail locations, or tour events may be required
• Limited physical effort; occasional lifting or moving of lightweight materials (golf equipment, portable sensors, etc.)
• Frequent travel may be required