Description

You will provide statistical support to Hardware Engineering, focusing on Product Safety and Environmental Technologies.

Responsibilities

• Analyze field and test data to identify failure modes and associated effects.
• Perform trend analysis to influence product design and manufacturing decisions.
• Develop forecasting models to support reliability, safety, and quality requirements.
• Communicate data nuances and technical conclusions to cross-functional stakeholders and senior leadership.
• Produce data visualizations to support regulatory compliance and engineering decisions.

Required Skills

• 7+ years of applied experience in statistical analysis or data science within consumer electronics or manufacturing.
• Expertise in Weibull analysis and time-in-field forecasting.
• Proficiency with statistical tools including Minitab, JMP, SPSS, or Posit.
• Strong data visualization skills using the Tableau suite.
• Advanced proficiency in MS Excel and Apple Keynote.
• Experience with predictive analysis for field failure, reliability, and quality.
• Ability to work in-person in an office environment.
• Advanced degree in Statistics, Statistical Analysis, Data Science, or Mathematics.

Preferred Skills

• Experience with JIRA and Confluence.
• Project management experience including schedule management.
• Engineering or technical degree.

Key Skills

Education

Any Graduate