Package Design and Development Quality Assurance Engineer - Data Analytics

Description

The role sits in package design and development quality assurance at a company that makes memory and storage products.

You will help the team judge risks when new package technologies arrive, using automation, data analysis, and machine learning or AI to work more efficiently.

You will work with engineering groups and internal customers on quality problems.

Responsibilities

• Map package DDQA processes and their data flows together with engineering teams.
• Set up and tune databases, build data ingestion pipelines, and automate analysis and reporting.
• Help solve quality and risk problems by pulling product, manufacturing, and reliability data for each problem statement.
• Choose the right datasets and methods for problem-solving teams, which may include visualizations, machine learning models, statistical inference, and web applications.
• Give root cause and product risk recommendations based on your analysis.
• Gather and rank software requirements using project and change management methods.
• Share code, lessons, and best practices with global teams, and train internal customers on the reports and tools you build.
• Present data and results to small and large audiences, formally or informally.
• Mentor colleagues and write internal and external technical papers.
• Upgrade and fix code and reports that other team members have written.

Requirements

• A Master's degree in Computer Science or a related field is accepted.
• Statistical modeling and machine learning algorithms in Python.
• Software quality assurance methods and the software testing lifecycle.
• Object-oriented programming in Python, Java, or C++, along with object-oriented design principles.
• SQL, relational database systems, and data modeling.
• Full-stack web development with HTML, CSS, JavaScript, and a modern framework such as React or Angular.
• Designing and implementing algorithms and data structures.
• Cloud platforms such as AWS, distributed systems, and networking fundamentals.

Conditions

The posting links to information about your right to work.

The company does not charge candidates recruitment fees and prohibits child labor, in line with applicable laws and labor standards.

Benefits

• Medical, dental, and vision plans offered in all locations, so you can choose coverage that fits your family and budget.
• Income protection if illness or injury keeps you from working.
• Paid family leave.
• Paid time off and paid holidays.
• A benefits guide with full details is posted on the company careers site.