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Edwards Vacuum
Edwards Vacuum

Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Data Science
Python
+23

Permanent role
7 days ago
Apply now

Your role

As a Data Scientist , your mission is to [The Data Scientist answers open-ended questions relating to equipment condition and performance, using data from a variety of sources. They explore the data, and engage other domain experts, to produce highly accurate predictive models for customer use. They also develop visuals and dashboards to convey model predictions. The insights produced by the Data Scientist are used within the Semiconductor Service Operational Excellence framework, to provide value-added pre and aftersales services to customers. This includes guidance for predictive or condition-based maintenance, the avoidance of unplanned downtime, or the proactive management of spares/inventory or service effort. This role will involve significant amounts of time on customer sites, explaining to customers the output of predictive models, and helping to bring data driven decisions to the maintenance process. A moderate amount of travel, primarily within China, will be required.]. You will report to [Technique Solution Manager].

You will

  • Represent Edwards Vacuum on customer sites, providing high quality updates to customers about the use of Predictive Models
  • Be able to tune and customize Edwards suite of Predictive Models to work optimally on a customers specific process
  • Collaborate, to build the subject matter expertise of others into your work
  • Develop data analytic code, adopting and extending re-usable design patterns and modules across prototype and production models
  • Specify or develop requirements for data linkage and tests for data quality, so the required pre-processing can be automated
  • Participate in team design and code peer-reviews, to help establish and share best practice
  • Keep up-to date with state-of-the-art data science methods and technology, maintaining internal and external peer networks, to facilitate professional development of yourself and the team

To succeed, you will need

We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role.

You have X - X years of experience, working as a XY

  • Degree or equivalent in Computer Science, Enginering or Physical Sciences, or other Mathematics-based discapline

Master degree at least.

  • 2 ~ 5 years in a Data Analytics or Data Science role, ideally using data to study the performance or condition of physical/industrical assets. You may also have experience with the use of NLP to extract labels or other information from free-text records, or image processing to identify and classify features in still images or video.
  • Self reliant software developer, using mainstream data analytics languages: e.g. Python or R
  • You will have experience interacting directly with customers, and providing technical presentations to non-technical people
  • Excellent spoken ad written English. An additional European or Asian language is beneficial.
  • Ideally you will have experience in the semiconductor industry or terotechnology which related to mechanical, thermodynamic, Steam turbine and Engine machinery

In return, we offer

  • Culture of trust and accountability
  • Lifelong learning and career growth
  • Innovation powered by people
  • Comprehensive compensation and benefits
  • Health and well-being

Job location

Option 1: On-Site

This role requires you to work on-site at our office in Shanghai. You will be part of a dynamic team and enjoy the benefits of face-to-face collaboration.

Contact information

Talent Acquisition Team: Summer Danfeng Hu

Uniting curious minds

Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.

About Edwards Vacuum

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