Fitting Research Engineer

TaylorMade Golf

$90,000 - $103,000 py
Onsite
Develop and validate analytical systems
Build and own data pipelines
Design and deploy machine learning models
TaylorMade Golf is seeking a Fitting Research Engineer to enhance their golf fitting processes through data-driven methodologies and experimentation. The ideal candidate will possess strong technical expertise, particularly in statistical modeling and machine learning, and have a passion for golf

Job Summary

  • Develop, validate, and extend analytical and software systems to help golfers find their optimal equipment.
  • Build and own data pipelines, design and deploy machine learning models, and lead experimental studies.
  • Collaborate cross-functionally to translate research findings into real-world product and fitting decisions.

Matching Summary

Match Score: 85

TaylorMade Golf is seeking a Fitting Research Engineer to enhance their golf fitting processes through data-driven methodologies and experimentation. The ideal candidate will possess strong technical expertise, particularly in statistical modeling and machine learning, and have a passion for golf.

Salary

$90,000 - $103,000

Skills & Requirements

Must-have

  • Develop and validate analytical systems
  • Build and own data pipelines
  • Design and deploy machine learning models
  • Lead experimental studies
  • Develop internal tools and applications
  • Proficiency in Python or MATLAB

Nice-to-have

  • Genuine enthusiasm for golf
  • Familiarity with mechanical simulation
  • Experience with sports science or biomechanics

Key Requirements

  • B.S. with 3-5 years experience; M.S. with 1-2 years; or Ph.D.
  • Experience in an industry setting with modern software development
  • Strong foundation in statistical modeling and experiment design

Work Rights

Not specified

Tailored Resume

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