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# Fault Detection & Classification (FDC) Data Science Engineer

- **Company:** Samsung
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $106,000.0 - $174,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Decision Support Systems, Machine Learning, Information Technology, Data Analytics
- **Published:** September 22, 2026
- **Apply:** https://www.dice.com/job-detail/7520f03e-c3a9-4028-9696-4dca2fa2855b

## About the Role

* Bachelor's degree or higher in Data Science, Machine Learning, Computer Science, Engineering, or a related field.
 * 7+ years of experience in data science, machine learning, or a relevant field, preferably in the semiconductor industry.
 * 5+ years of FDC experience desired.

## Description

Samsung Austin Semiconductor is seeking a highly skilled and experienced Data Scientist Engineer to lead the development and implementation of the Fault Detection and Classification (FDC) system. This individual will have a strong background in data science, machine learning, and experience working in the semiconductor industry. The ideal candidate will be responsible for managing the FDC system's evolution and integration with other factory systems and processes, while driving continuous improvement through data-driven decision making.

The Fault Detection & Classification (FDC) System Engineer is a crucial role in maintaining the efficiency and productivity of an advanced semiconductor fabrication factory. This role is responsible for owning and overseeing the development and implementation of cutting-edge FDC systems, ensuring optimal equipment monitoring and performance.

Role and Responsibilities

Here's What You'll Be Responsible For:

 * Lead the development, testing, and deployment of AI and data-driven solutions for the Fault Detection & Classification system, specifically for early detection and analysis of process/equipment anomalies.
 * Own and oversee the development, implementation, and maintenance of the FDC system.
 * Manage the system's evolution and integration with other factory systems and processes.
 * Coordinate with cross-functional teams to optimize the FDC system for overall factory performance.
 * Drive continuous improvement of the FDC system through data-driven decision making.
 * Analyze data and trends to identify areas for improvement and implementation of system updates.
 * Collaborate with data scientists and engineers to develop and deploy new models and methods for fault detection and classification.
 * Develop and implement FDC methods and systems that meet the business needs of tier-1 foundries.