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Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.


Mgr, Data Science

Date:  Sep 15, 2021
Location: 

Singapore, SG, 554911

Req ID:  162767

Job Responsibilities

Reporting into the senior management staff within Computational Products Organization, the incumbent is responsible for leading and mentoring a team of Data Scientists / Engineers with diverse backgrounds and expertise in applying knowledge in engineering principles, machine learning algorithms and computer vision techniques for image processing to support research and development projects related to semiconductor capital equipment and process development activities. Portfolio includes leading the team to develop new analytical solutions from scratch by combining semiconductor manufacturing domain knowledge with innovative custom approaches from machine learning to enable speed to solution. Responsibilities also include contributing to the long-term vision and AI roadmap for the team.

Other Job Responsibilities

  • Responsible for researching, developing and deploying data science and machine learning based computational products that delivers improved process efficiencies, speed to solution, yield and productivity to internal and external customers
  • Take ownership for defining and executing the near term and long-term vision for data science application portfolio for semiconductor equipment process development space.
  • Perform reviews of the theoretical approaches being proposed and oversee code reviews ensuring implementation is correct and fits in the overall software architecture built.
  • Maintain continuous communication with stakeholders across organizations. Understand various business unit roadmaps and how data science application portfolio fits in to support their needs within the timelines required.
  • Give technical presentations at executive leadership meetings to gain management buy-in, clearly communicate value proposition and provide technical insight on the solution being implemented
  • Has deep technical understanding the algorithm being developed as well as the process domain it is applied to ensure the right approach is selected for the problem being solved
  • Propose hybrid modeling and optimization strategies combining advanced data analytics with physics-based fundamentals such as mass balance, energy balance, thermodynamics, reaction kinetics and plasma modelling principles. Clearly articulate underlying assumptions and limitations propose DOEs to calibrate and validate proposed models
  • Recruit, assimilate, train and lead a team of data scientists to ensure the team has the right skill set in the field of machine learning as well as semiconductor domain knowledge required to custom build solutions that meet or exceed required success criteria
  • Direct, supervise and perform hands on work as needed on day-to-day research and development projects with his direct reports.
  • Responsible for the annual Performance Management & Development exercise of his direct reports.
  • Responsible for the training and development of his direct reports.
  • Develop and mentor high-potential personnel in order to continuously build a stronger team as well as provide opportunities for qualified internal personnel.

Minimum Qualifications

  • Masters / PhD in Electrical, Chemical, Mechanical Engineering, Mathematics, Physics or related field
  • More than 10 years’ related experience in and out of which 3 years leading high performing data science teams
  • Extensive experience in deploying deep learning methods, traditional computer vision techniques, algorithm design, modelling complex systems and advanced data analytics
  • Ability to mentor team on writing code to query and transform both unstructured and structured data
  • Good knowledge in designing advanced deep learning (DNN, LSTM, RNN) models, Bayesian techniques and probability theory for advanced process optimization and control applications.
  • Strong understanding of statistical theory and applications
  • Strong knowledge in programming for Python, Data Analytics, machine learning and computer vision associated libraries and frameworks (Spark, Keras, Tensorflow, OpenCV, Skimage, Scikit Learn, Pandas etc.)

Preferred Qualifications

  • Team player with strong interpersonal skills
  • Strong ownership and able to deliver tangible results under tight deadlines

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.


All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We Look Forward to Your Application


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