Senior Data Scientist, Defect Quality & Systems

About Samsung Austin Semiconductor

Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.

Come innovate with us!

Position Summary

As a Senior member of the team, you will serve as a technical lead and a bridge between teams. Beyond your individual contributions, you will drive the successful execution of cross-functional projects, aligning stakeholders across the factory to achieve shared goals. You will also play a pivotal role in the growth of our technical talent, mentoring junior engineers in software best practices and code quality to elevate the overall capability of the team.

Role and Responsibilities

Here’s What You’ll Be Responsible For:

• 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 and Qualifications

Here's what you'll need:

• 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.

The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

Total Rewards

At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

We offer a comprehensive benefits package, including:

• Medical, dental, and vision insurance

• Life insurance and 401(k) matching with immediate vesting

• Onsite café(s) and workout facilities

• Paid maternity and paternity leave

• Paid time off (PTO) + 2 personal holidays and 10 regular holidays

• Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

U.S. Export Control Compliance

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice

By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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