Quality Engineer – Data Science

Smith+Nephew•Pittsburgh, PA

1d•Hybrid

About The Position

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living. Are you passionate about using data science to solve complex quality challenges and drive meaningful improvements? Join our Quality team in Pittsburgh, Pennsylvania, where you will apply advanced analytics, statistical methods, and machine learning techniques to help enhance product quality, optimize processes, and support our mission of improving lives through innovative medical technology.

Requirements

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
Typically, 0 to 3 years of experience through internships, co ops, academic research, or professional experience in data science, statistics, process improvement, or quality improvement
Strong analytical, statistical, and problem-solving skills
Proficiency with Python, R, and/or SQL
Experience with data visualization tools such as Power BI or Tableau
Understanding of quality methodologies including SPC, FMEA, and Six Sigma
Excellent communication and collaboration skills with the ability to work across multiple functions
Willingness to travel up to 10%

Nice To Haves

Master's degree preferred but not required
Exposure to regulated industries such as medical devices, life sciences, or healthcare is preferred

Responsibilities

Collect, clean, analyze, and interpret quality related data from multiple internal systems to identify trends and improvement opportunities
Develop and maintain dashboards, reports, and visualizations that support quality performance monitoring and decision making
Support root cause investigations and CAPA activities through advanced analytical and statistical techniques
Build and enhance predictive models for defect detection, process optimization, productivity improvement, and quality monitoring
Explore and apply machine learning and open-source models to support quality and operational excellence initiatives
Partner with cross functional teams across R&D, Regulatory, Marketing, Manufacturing, and IT to drive data driven quality improvements
Document, standardize, and maintain data workflows to ensure consistency, reproducibility, and compliance
Participate in audits and provide data driven insights to support quality and compliance activities
Handle and analyze large datasets while identifying opportunities for continuous improvement