ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Integrate assembly/test data pipeline, analyze and transform process data.
- Develop new process for NPI, transfer to HVM without major quality issues.
- Analyze and optimize existing manufacturing processes to enhance efficiency and product quality.
- Develop and implement process improvement initiatives using methodologies such as Six Sigma and Lean.
- Design and conduct experiments to troubleshoot process issues and validate improvements.
- Develop and maintain factory automation applications with modern frontend tools.
- Develop and optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting.
- Integrate factory systems and manufacturing equipment via web services, API calls, or SECS/GEM communication protocols.
- Collaborate closely with process, equipment, factory automation and IT teams to deliver robust and efficient automation, machine learning and AI solutions.
REQUIRED:
- Bachelor’s or Master’s degree in Mechatronic Engineering, Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning or a related technical field. Min 3 years relevant working experience, as data scientist or engineering field.
PREFERRED:
- Data Scientist with manufacturing/engineering knowledge.
SKILLS:
- Proficiency in statistical data analysis using JMP software.
- Knowledge of statistical techniques in data science (regression, properties of distribution).
- Knowledge in machine learning techniques (neural network, machine learning).
- Knowledge in programming language (python, R) and database (SQL) to perform data mining and analysis.
- Strong analytic skills and problem-solving skills.
- Experience or academic projects related to manufacturing automation, MES integration, or factory data systems.
- Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation initiatives in manufacturing.
- Passionate about technology and continuous improvement in a factory environment.
- Strong communication and teamwork skills.
- Self-motivated, organized, and able to manage multiple tasks in a dynamic environment.
Sandisk 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.
Sandisk 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: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk 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 Sandisk Ethics Helpline or email [email protected].