Staff Statistician

KLA

Milpitas, CA, USA
$186,200.00 - $316,500.00 annually; not specified;...
Statistical methods in product life cycle
Design, implement, and analyze experiments
Develop and maintain statistical models
The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA’s product, engineering and service organizations

Job Summary

  • The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA’s product, engineering and service organizations.
  • This role combines technical expertise with organizational leadership, influencing outcomes across multiple teams and programs rather than owning day‑to‑day execution alone.
  • KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Matching Summary

The Staff Statistician provides strategic leadership for applied statistics, probability modeling, and reliability analytics across KLA’s product, engineering and service organizations.

Salary

$186,200.00 - $316,500.00 Annually; Not specified; Not specified

Skills & Requirements

Must-have

  • Statistical methods in product life cycle
  • Design, implement, and analyze experiments
  • Develop and maintain statistical models
  • Root cause analysis using statistical tools
  • Expert user of statistical software

Nice-to-have

  • Intellectual curiosity
  • Multi-functional collaboration
  • Continuous improvement
  • Data-driven decision making

Key Requirements

  • Master's or Ph.D. in Statistics or related field
  • Minimum 5 years of experience
  • 8+ years desired experience
  • Strong understanding of experimental design
  • Demonstrated experience analyzing large datasets

Work Rights

Not specified

Tailored Resume

Cover Letter