Fitting Research Engineer

452

Base: $90,000 - $103,000; bonus/equity: performanc...
Onsite
Statistical modeling and hypothesis testing
Machine learning framework proficiency
Python or matlab programming skills
The role focuses on transforming golf fitting from intuition to evidence using data-driven methods and rigorous experimentation

Job Summary

  • The role focuses on transforming golf fitting from intuition to evidence using data-driven methods and rigorous experimentation.
  • Candidates will build and own data pipelines that capture large volumes of equipment and player performance data including launch monitor outputs.
  • TaylorMade offers a competitive total rewards approach including health benefits, performance bonuses, product discounts, and paid time off.

Matching Summary

The role focuses on transforming golf fitting from intuition to evidence using data-driven methods and rigorous experimentation.

Salary

Base: $90,000 - $103,000; Bonus/Equity: Performance bonuses available; Benefits: Health & wellness, product discounts, holidays, PTO

Skills & Requirements

Must-have

  • Statistical modeling and hypothesis testing
  • Machine learning framework proficiency
  • Python or MATLAB programming skills
  • Experimental design and data collection
  • Production software deployment experience

Nice-to-have

  • Knowledge of golf game and equipment
  • Biomechanics or sports science background
  • Cross-functional collaboration abilities
  • Mechanical simulation or physics modeling
  • Strong communication for non-technical audiences

Key Requirements

  • B.S., M.S., or Ph.D. in Data Science or related field
  • 3-5 years industry experience with B.S. degree
  • Experience with modern software development practices

Work Rights

Not specified

Tailored Resume

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