MQA Data Analyst
Shanghai, Shanghai, China
Operations and Supply Chain
Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. If you are the kind of students who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. MQA team is a horizontal team in Manufacturing Design, responsible for ensuring the sustainability of high quality requirements compliance throughout MD supplier chain. Our goal is to provide effective and efficient monitoring of Apple's quality requirements compliance, while also proactively seeking out opportunities for continual improvement and sharing best practices cross LOBs in a systematic and creative way.
As a MQA Data Analyst, you will play a vital role in enhancing our supply chain efficiency and product quality through insightful data analysis. The candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends and provide actionable insights that support strategic decision-making and continuous improvement in the manufacturing process.
Key Qualifications
- - Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information.
- - Strong data modeling and data engineering experience
- - In-depth knowledge statistical machine learning and in deep learning.
- - Proficient in developing algorithms for mathematics and statistic in Python
- - Familiar with Deep Learning Framework, such as Tensorflow, Pytorch or JAX.
- - Strong problem-solving and analytical skills, with a focus on practicality and real-world application.
- - Experience in Machine Learning/Deep Learning Program related to manufacturing such as Computer Vision, Natural Language Processing as plus
Description
You will be directly responsible for building applications to optimize the manufacturing quality assurance workflow, using advanced data analytics and machine learning techniques.
You will play a crucial role in enhancing efficiency and expanding coverage by focusing on data analysis and visualization within quality assurance automation.
Additionally, you will engage in advanced predictive modeling and algorithm development, utilizing sophisticated tools such as Large Language Models (LLMs) to elevate quality assurance to new heights.
Together, you'll collaborate with cross-functional teams to implement data-driven strategies that keep us at the forefront of innovation, ensuring our continued improvement in manufacturing landscape.
Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
Apple benefits programs vary by country and are subject to eligibility requirements.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
Education & Experience
MS/PhD or equivalent experience in Engineering/Computer Science/Data Science/Mathematic/Statistic
Machine learning engineering background are strongly preferred.