Fault Detection & Classification Data Science Engineer

Samsung Electronics

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$76,000–$174,500 / yr
Posted
3 days ago
Closes
Oct 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $125k
$57k most similar roles pay here $251k

This role pays less than 92% of similar roles. Most pay $153,887–$231,150 — the shaded band above. At the midpoint, this role pays about $125k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 42 open roles on FindRole.

Listed pay typically runs $151,000–$208,400 across 34 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Fault Detection & Classification Data Science Engineer

Role Posting Log in to save

Samsung Austin Semiconductor is hiring a Data Scientist Engineer to lead the development and implementation of its Fault Detection and Classification (FDC) system in an advanced semiconductor fabrication factory. This senior-level role involves managing the FDC system's evolution and integration with other factory systems, driving continuous improvement through data-driven decision-making, and collaborating with cross-functional teams to optimize overall factory performance. The ideal candidate will have extensive experience in machine learning and data science, particularly within the semiconductor industry, and should be proficient in data analysis, statistics, and machine learning techniques. They will work on cutting-edge projects that require strong leadership, project management, and communication skills, ensuring the FDC system meets the high standards of tier-1 foundries.

Skills

Python SQL MachineLearning DataAnalysis Statistics FDC ProjectManagement CI/CD Kubernetes JupyterNotebook RStudio Git AWS Azure GoogleCloudPlatform PostgreSQL MongoDB Docker Terraform

What you'll do

  • Lead the development and deployment of AI solutions for early detection of process/equipment anomalies in FDC systems.
  • Own and oversee the evolution and maintenance of the Fault Detection & Classification system.
  • Manage integration of FDC system with other factory systems to optimize overall performance.
  • Analyze data trends to identify areas for improvement and implement necessary updates.
  • Develop and deploy new models and methods for fault detection and classification in collaboration with experts.
  • Ensure FDC methods and systems meet business needs of tier-1 foundries.

What we're looking for

  • Bachelor's degree or higher in Data Science, Machine Learning, Computer Science, Engineering, or related field.
  • 7+ years of experience in data science, machine learning, or a relevant field, preferably in semiconductor industry.
  • Strong knowledge of data analysis, statistics, and machine learning techniques.
  • Demonstrated ability to lead complex projects and collaborate with cross-functional teams.
  • Experience managing FDC system development and integration with factory processes.
  • Proven skills in driving continuous improvement through data-driven decision making.

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