Product Quality Data Analyst

Philips

Bothell, Washington, USA
Onsite
Advanced statistical techniques
Machine learning techniques
Predictive model development
Philips is seeking a Product Quality Data Analyst to apply statistical and machine learning techniques to enhance product quality within the Oral Healthcare business unit. The ideal candidate will collaborate with global teams and possess relevant experience in data analytics and quality engineering

Job Summary

  • The Product Quality Data Analyst applies advanced statistical and machine learning techniques to extract insights from complex quality information datasets, supporting quality decisions.
  • Support the global design and development teams within the Philips Oral Healthcare business unit, contributing to power toothbrushes, power flossers, and whitening solutions.
  • We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

Matching Summary

Match Score: 85

Philips is seeking a Product Quality Data Analyst to apply statistical and machine learning techniques to enhance product quality within the Oral Healthcare business unit. The ideal candidate will collaborate with global teams and possess relevant experience in data analytics and quality engineering.

Skills & Requirements

Must-have

  • advanced statistical techniques
  • machine learning techniques
  • predictive model development
  • Python and R programming
  • Minitab statistical software

Nice-to-have

  • cross-functional collaboration
  • consumer needs focus
  • regulatory compliance
  • continuous improvement mindset

Key Requirements

  • 2 years relevant experience with Bachelor's degree
  • Master's degree with no prior experience
  • Working knowledge of Python, R, data analysis
  • Working knowledge of Minitab or Mathlab

Work Rights

Not specified

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