Regional Product Support Engineer - Data Scientist
Hsinchu, TW-Hsinchu, TW
Lam Research
The Group You’ll Be A Part Of
The Global Customer Operations Group brings industry insights and experience to help our customers deliver on their technology roadmaps. We work tirelessly to earn the trust of our customers, because we know that working closely together leads to the highest quality outcomes.
The Impact You’ll Make
At Lam, as a Field Process Engineer you are a customer-focused expert on our equipment, pushing the boundaries to meet customer needs. You’re responsible for completing process support, evaluation, and documentation of process outputs for hardware modifications and upgrades. You play a vital role in supporting the customer in installations, training, and identifying design improvements with product groups.
What You’ll Do
- As a Regional Product Support Engineer at Lam, you’re the backbone of technical support for field engineers, technicians, and product support personnel in the region.
- Main focus on building product system database, analyzing data to improvement system product productivity and develop application for engineers and product system productivity.
- To be Lam Equipment Intelligence Applications power user to implement on Field.
- Your expertise is crucial in diagnosing, troubleshooting, repairing, and debugging complex electro-mechanical equipment, computer systems, software, or networked and wireless systems.
- Your swift action in responding to situations is critical in resolving issues and ensuring satisfaction of Lam's valued customers.
Who We’re Looking For
Minimum Qualifications:
- Mathematic or computer science MS/BS with python and data analysis coding experience.
- 5 years semiconductor related experience.
- With Python, R, R-shiny and SQL experience
- Need to take not only domestic but also international travel if needed.
Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Python R Research SQL Swift
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