Develop and apply data analytics, modeling, and automation solutions to support advanced packaging technology development
Analyze large multi-source datasets to identify trends and improvement opportunities
Build and maintain scripts, dashboards, models, or ML workflows
Collaborate cross-functionally with various teams to translate packaging problems into computational solutions
Support root cause analysis for package defects and yield excursions
Enable traceability, automation, and digital workflows across packaging development

Requirements

BS or MS in Computer Science, Computer Engineering, Data Science, or closely related field
Strong foundation in programming and data analysis (e.g., Python, SQL, MATLAB, R, or equivalent)
Knowledge of statistics, data mining, machine learning, or optimization techniques
Ability to work with complex technical problems
Strong communication skills

Benefits

Choice of medical, dental, and vision plans
Benefit programs that help protect your income if unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsdata modelingautomation solutionsPythonSQLMATLABRstatisticsdata miningmachine learning

Soft Skills

communication skillsproblem-solving

Certifications

BS in Computer ScienceMS in Computer ScienceBS in Computer EngineeringMS in Computer EngineeringBS in Data ScienceMS in Data Science