Senior Data Scientist - Real-Time Defect & Yield Analytics

Samsung Semiconductor

Austin (TX)

On-site

USD 106,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
Life insurance and 401(k) matching
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off (PTO) + holidays
Wellness incentives

Job summary

Samsung Austin Semiconductor in Austin, TX is seeking a Senior Data Scientist who turns terabytes of manufacturing data into clear visual narratives. You will own the full lifecycle from SQL queries to dashboards used by factory leadership to drive million-dollar decisions.

As a technical lead, you’ll mentor junior engineers, guide cross-functional projects, and advance data tooling with SQL, Python, ML models, and data delivery UI.

Qualifications

  • Education: BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree
  • 5+ years relevant experience
  • Semiconductor industry highly preferred
  • Expert SQL & Data Architecture: Masterly command of SQL for extracting and aggregating data from diverse, multi-database environments.
  • Python Data Science Stack: Advanced proficiency in Python, leveraging the NumPy, SciPy, and Pandas ecosystem to solve complex analytical problems.
  • AI/ML Implementation: Experience architecting models using TensorFlow or PyTorch to drive predictive analytics and data-driven decision-making.
  • Quantitative Analysis: Strong foundation in rigorous statistical methods, including parametric and non-parametric modeling.
  • Semiconductor Yield Analytics: Specialized knowledge of semiconductor defect domains (detection, classification, and yield impact) paired with the ability to visualize findings in Tableau or Spotfire.
  • Frontend Interest: Experience with web-based data delivery tools (Vue / FastAPI) and a passion for clear UI/UX design.

Responsibilities

  • Drive Actionable Insights in Real-Time: Mine complex datasets within a fast-paced, 24/7 manufacturing environment to identify critical trends and cause for anomalies.
  • Design Intuitive Data Products: Build high-impact, user-centric dashboards and internal web-based tools (both technical and non-technical stakeholders)
  • Performance Tuning: Optimizing SQL queries or Python scripts to handle large data, ensuring reports load quickly for users in a time-sensitive environment.
  • Engineer Robust Systems: Lead the evolution of our analytical tools by modeling complex business logic and upgrading our codebase to professional engineering standards, ensuring that reports remain performant and reliable around the clock.

Skills

SQL & Data Architecture
Python (NumPy/SciPy/Pandas)
AI/ML (TensorFlow/PyTorch)
Statistical Analysis
Tableau/Spotfire
Frontend tools (Vue/FastAPI)
5+ years experience

Education

BS or MS in Software Engineering/CS/Data Science/Math/related STEM

Tools

TensorFlow
PyTorch
Tableau
Spotfire
Vue
FastAPI

Job description

Samsung Austin Semiconductor in Austin, TX is seeking a Senior Data Scientist who turns terabytes of manufacturing data into clear visual narratives. You will own the full lifecycle from SQL queries to dashboards used by factory leadership to drive million-dollar decisions.

As a technical lead, you’ll mentor junior engineers, guide cross-functional projects, and advance data tooling with SQL, Python, ML models, and data delivery UI.

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