Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Are you inspired by how data analytics can be used to diagnose, improve and add value to hardware and process?

Are you a natural team player who loves to solve complex problems?

If yes, then you’ll fit right in here at Applied Materials. We are a fast-growing team of doers who are bringing domain knowledge-aided data analytics to our semiconductor equipment.

We are working passionately to transform our customers’ experiences in ground-breaking ways new to this industry. Recently we released our vision of AI empowered platform, Applied AIX TM.

You will be part of exciting journey with us that is rewarding, fulfilling and fun!

Position Overview

• We are seeking a talented individual with general expertise and demonstrated achievement in process systems engineering, process control and data science.
• You will be a member of the Development Team that is responsible for developing data-driven analytics solutions to optimize semiconductor manufacturing.
• Your work will involve developing algorithms to analyze diverse data sets to address a variety of high value engineering issues.
• These tools will then be used to enhance hardware performance for both internal and external customers.
• The ideal candidate should be comfortable working cross-functionally as well as delivering results independently.
• The position requires willingness to learn new technologies, solving complex problems, identifying innovative solutions and troubleshooting.

Job Responsibilities

• Develop new ML/DL algorithms that is applicable for Semiconductor Industry problems within highly cross-functional work environment
• Develop data pipeline / modeling pipeline that can be integrated with the Applied AIX TM platform
• Evaluate and optimize the data-driven modules for product deployment
• Fine tune application performance, troubleshoot and resolve algorithm / data processing issues
• Serve as a technical communicator with customer if needed
• Thrive in a dynamic, multi-team fast-paced, rapid development, startup-like environment as well as work independently

Minimum Qualifications

• Master degree with 2+ years of demonstrated achievement with hardware-oriented analytics
• Degree in quantitative field (e.g. Physics, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering)
• Experience developing data-driven applications for manufacturing fields
• Good understanding of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
• Experience performing data extraction, cleaning, analysis, and visualization for medium to large datasets
• Experience with at least one programming language (Python, R, Java, etc.) and writing SQL queries
• Able to do technical communication with colleagues in USA, India

Preferred Qualifications

• PhD degree with 2+ years of demonstrated achievement with hardware-oriented analytics
• Confident user of ML/DL python packages including Scikit-learn, Tensorflow, Keras, etc.
• Hardware or process engineering experience in semiconductor industry
• Understanding of physical systems (e.g. signals processing, sensors, semiconductors, manufacturing)

• Experience developing and implementing process control systems integrated with ML/DL model

Qualifications

Education:

Master's Degree

Skills

Certifications:

Languages:

Years of Experience:

7 - 10 Years

Work Experience:

Additional Information

Travel:

Relocation Eligible:

No