Quality Data Scientist for Medical Tech

Smith & Nephew; Pittsburgh (Allegheny County); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401k Matching Program

Stock Options Discounted

Tuition Reimbursement

Flexible Personal/Vacation Time Off

Paid Holidays

Parental Leave

Fertility and Adoption Assistance

Job summary

Smith+ Nephew in Pittsburgh, Pennsylvania, is seeking a data science professional to join the Quality team. You will apply advanced analytics, statistics, and machine learning to improve product quality, optimize processes, and enable data-driven decisions.

The role emphasizes collaboration with cross-functional teams, development of dashboards, and support for CAPA and audits, with opportunities to contribute to Life Unlimited initiatives.

Qualifications

• Bachelor's degree in data science, statistics, computer science or related field.
• Master's degree preferred but not required.
• 0 to 3 years of experience in data science or quality improvement.
• Strong analytical and problem-solving skills.
• Proficiency with Python, R, and SQL.
• Experience with Power BI or Tableau.
• Exposure to regulated industries is a plus.

Responsibilities

• Collect, clean, and analyze quality data to identify trends and improvements.
• Develop dashboards and reports to support quality monitoring and decisions.
• Support root cause investigations and CAPA with advanced analytics.
• Build predictive models for defect detection and process optimization.
• Collaborate with R&D, Regulatory, Manufacturing, IT to drive data-driven quality improvements.
• Document data workflows ensuring reproducibility and compliance.
• Assist in audits with data-driven insights.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

Communication

Education

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

Master's degree preferred

Tools

Power BI

Tableau

Excel

Job description

Smith+ Nephew in Pittsburgh, Pennsylvania, is seeking a data science professional to join the Quality team. You will apply advanced analytics, statistics, and machine learning to improve product quality, optimize processes, and enable data-driven decisions.

The role emphasizes collaboration with cross-functional teams, development of dashboards, and support for CAPA and audits, with opportunities to contribute to Life Unlimited initiatives.