Package Design and Development Quality Assurance Engineer - Data Analytics

Micron • Boise, ID

8d

About The Position

Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions. Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems.

Requirements

• Statistical modeling and machine learning algorithms using Python.
• Software quality assurance methodologies and software testing lifecycles
• Object-oriented programming languages including Python, Java, or C++, and object-oriented design principles.
• SQL, relational database systems, and data modeling concepts.
• Full-stack web development, including HTML, CSS, JavaScript, and modern frameworks (including React or Angular).
• Designing and implementing algorithms and data structures.
• Cloud computing platforms (including AWS), distributed systems, and networking fundamentals.

Responsibilities

• Implement Automation, Data Analysis, and AI Solutions.
• Collaborate with Engineering teams to Map Package DDQA processes and data streams.
• Set up and optimize databases and develop solutions to improve efficiency and effectiveness.
• Understand the needs of internal customers and develop solutions.
• Support Problem Solving and Risk Assessment for Quality Issues.
• Pull relevant product information, manufacturing data, and reliability data based on given problem statements.
• Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams. This could include producing data visualizations, machine learning models, statistical inferences, and web applications.
• Provide recommendations about root cause findings and product risk, based on data analysis.
• Collaboratively Communicate Findings and Best Practices.
• Share best practices with global teams to enable a culture of analytics and data driven decision making.
• Gather, organize and prioritize software requirements employing project and change management techniques.
• Share code, knowledge and lessons learned to expand the ability of other team members to accomplish similar projects.
• Train internal customers to use reports and tools that you create.
• Present data and analyses to both large and small groups in both formal and informal settings.
• Support code and reports developed by other team members to make upgrades and fix issues.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level