ESSENTIAL

DUTIES AND RESPONSIBILITIES:

• We are seeking a motivated Early Career Talent (ECT) to join the Supplier Quality Engineering (SQE) team with a focus on digital transformation.
• This role provides a unique opportunity to apply engineering fundamentals, quality systems, data analytics, and Digital tools to transform supplier quality management processes
• The candidate will work closely with cross-functional teams and suppliers to improve quality performance, drive automation, support the Industry 4.0 journey, and enable predictive quality through data and AI
• Key responsibility: Collect, analyze, transform, and visualize supplier quality data using Python, SQL, Power BI, or equivalent tools
• Assist in developing and maintaining data pipelines, digital dashboards, automated reports, and data-driven decision-making tools for SQE, including digital transformation projects
• Participate in supplier workshops and training to promote digital adoption and continuous improvement

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

REQUIRED:

We warmly welcome fresh graduates of a Bachelor's degree, and Early Career Talent with 0-2 years of experience are encouraged to apply.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Computer Science, Computer/Software Engineering, Electrical/Electronics Engineering, Mechanical Engineering, or equivalent experience
• Internship experience in manufacturing, process improvement, or digital transformation
• Exposure to Six Sigma tools
• Experience or familiarity with data analytics tools

PREFERRED:

• Strong knowledge and skills in Python programming and SQL
• Strong knowledge of database concepts, SQL querying, data modeling, and data transformation
• Strong skills in data analysis and data processing using Python and SQL
• Knowledge or experience in Generative AI, LLMs, RAG, and AI Agent development is preferred.

SKILLS:

• Good knowledge of Data Engineering, including ETL/ELT processes and data pipelines
• Good knowledge and skills in Machine Learning and Deep Learning
• Knowledge in Automated Workforce projects and digital transformation
• Knowledge of Python libraries such as Pandas, NumPy, and Scikit-learn
• Basic knowledge of web application development, REST API, and backend development
• Good English communication skills, verbal and written

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WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the

job title

and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].