Samsung
Senior Data Scientist, Defect Quality & Systems
$106K–$145K
12100 Samsung Blvd, Austin, TX, USA · On-site · Senior · Full-time · Posted Sep 4, 2026
- Experience
- 5+ years relevant experience.
- Education
- BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or related STEM/Engineering degree.
- Visa sponsorship
- Applicants must be authorized to access information subject to U.S. export control laws or eligible for government authorization.
About the job
Leads analysis of semiconductor manufacturing data and develops reliable dashboards and web tools that help factory teams identify defects, understand anomalies, and make decisions.
What you'll do
- Mine manufacturing data for trends and anomaly causes, and optimize SQL queries and Python scripts for timely reporting.
- Build dashboards and internal web tools, and improve the performance and reliability of analytical systems.
- Lead cross-functional projects and mentor junior engineers in software practices and code quality.
What they ask for
- BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
- Expert SQL and advanced Python proficiency, including NumPy, SciPy, and Pandas.
- Experience architecting AI/ML models using TensorFlow or PyTorch, plus strong statistical analysis skills.
- Specialized knowledge of semiconductor defect detection, classification, and yield impact; ability to visualize findings in Tableau or Spotfire.
Nice to have
- Semiconductor industry experience is highly preferred.
- Experience with web-based data delivery tools (Vue / FastAPI) and interest in UI/UX design.
Pay
$106,000 - $145,000 USD base salary
Tools
SQL, Python, NumPy, SciPy, Pandas, TensorFlow, PyTorch, Tableau
AI focus
Architects AI/ML models for predictive analytics and data-driven decision-making.
Model-written summary · the original posting is authoritative