Quality Engineer - Data Science

Smith & Nephew

Pittsburgh (Allegheny County)

Hybrid

USD 70,000 - 95,000

Full time

5 days ago
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Benefits offered by this job

401k Matching
Tuition Reimbursement
Paid Holidays
Flex Time Off
Health Coverage

Job summary

Smith+Naphew is seeking a data science professional to join the Quality team in Pittsburgh. You will apply advanced analytics, statistics, and machine learning to improve product quality and optimize processes, partnering across R&D, Regulatory, Manufacturing, and IT.

The role emphasizes dashboards, predictive models, and CAPA support, with 0–3 years of related experience and a strong foundation in Python, R, SQL, and data visualization. Travel up to 10% is possible, with a hybrid work model.

Qualifications

  • Bachelor's degree in a data-related field or equivalent
  • 0–3 years of 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 across functions
  • Exposure to regulated industries such as medical devices, life sciences, or healthcare is preferred
  • Willingness to travel up to 10%

Responsibilities

  • Collect, clean, analyze, and interpret quality data across systems to identify trends and opportunities
  • Develop dashboards, reports, and visualizations for quality performance monitoring
  • Support root cause investigations and CAPA with advanced analytics
  • Build predictive models for defect detection and process optimization
  • Apply machine learning to support quality and operational excellence
  • Partner with cross-functional teams to drive data-driven improvements
  • Document and maintain data workflows for reproducibility and compliance
  • Participate in audits and provide data-driven insights
  • Handle large datasets and identify continuous improvement opportunities

Skills

Python
R
SQL
Statistical analysis
Quality mindset

Education

Bachelor's degree in Data Science, Statistics, Computer Science or related

Tools

Power BI
Tableau
SAS

Job description

Life Unlimited. At Smith+Naphew 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.

What will you be doing?

  • 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

What will you need to be successful?

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's degree preferred but not required

  • 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

  • Exposure to regulated industries such as medical devices, life sciences, or healthcare is preferred

  • Willingness to travel up to 10%

You Unlimited.

We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

  • Inclusion and Belonging- Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website (https://www.smith-nephew.com/).

  • Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Options, Tuition Reimbursement

  • Work/Life Balance: Flexible Personal/Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day

  • Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program

  • Training: Hands-On, Team-Customized, Mentorship

  • Extra Perks: Discounts on fitness clubs, travel and more!

#LI-HYBRID

#LI-SB2

Smith+Naphew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

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