Engineer Fitting Logic

TaylorMade

Base: $90,000 - $103,000; bonus/equity: performanc...
Onsite
Data pipelines
Machine learning models
Recommendation systems
TaylorMade is seeking a Fitting Research Engineer to enhance golf fitting through data-driven methods and experimentation. The role requires strong technical expertise in data science, machine learning, and a passion for golf, with responsibilities including developing analytical systems and collaborating cross-functionally

Job Summary

  • Develop, validate, and extend analytical and software systems that help golfers find their optimal equipment using data-driven methods and rigorous experimentation.
  • Build and own data pipelines, design and deploy machine learning models, and lead experimental studies to generate reliable, actionable insights.
  • Collaborate cross-functionally to translate research findings into real-world product and fitting decisions, and develop tools to bring fitting intelligence to fitters and golfers.

Matching Summary

Match Score: 85

TaylorMade is seeking a Fitting Research Engineer to enhance golf fitting through data-driven methods and experimentation. The role requires strong technical expertise in data science, machine learning, and a passion for golf, with responsibilities including developing analytical systems and collaborating cross-functionally.

Salary

Base: $90,000 - $103,000; Bonus/Equity: performance bonuses; Benefits: health & wellness, product discounts, holidays, paid time off

Skills & Requirements

Must-have

  • Data pipelines
  • Machine learning models
  • Recommendation systems
  • Experimental studies
  • Statistical methods
  • Programming (Python, MATLAB)
  • Software development and deployment

Nice-to-have

  • Intellectual curiosity
  • Bias toward action
  • Enthusiasm for the game
  • Collaborative by nature
  • Organized and detail-oriented
  • Knowledge of golf fitting process

Key Requirements

  • B.S., M.S., or Ph.D. in quantitative field
  • 3-5 years relevant industry experience (B.S.)
  • 1-2 years relevant industry experience (M.S.)
  • Relevant PhD experience
  • Prior industry experience with software development

Work Rights

Not specified

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