Senior Data Scientist, Defect Quality & Systems

Samsung Electronics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$106,000–$145,000 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday
Closes
Sep 4, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $126k
$92k most similar roles pay here $233k

This role pays less than 94% of similar roles. Most pay $128,650–$202,005 — the shaded band above. At the midpoint, this role pays about $126k versus about $165k 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 94 open roles on FindRole.

Listed pay typically runs $106,000–$174,500 across 58 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Senior Data Scientist, Defect Quality & Systems

As a Senior Data Scientist, Defect Quality & Systems, you will join the team to transform terabytes of raw manufacturing data into clear visual narratives for factory leadership. You will manage the entire insight lifecycle, from executing complex SQL queries to building high-impact dashboards and web-based tools in a 24/7 manufacturing environment. Your role involves mining datasets to identify trends, optimizing Python scripts, and modeling business logic to ensure system reliability. You will serve as a technical lead, mentoring junior engineers on software best practices while managing cross-functional projects. The role requires expertise in the Python data science stack (NumPy, SciPy, Pandas), SQL, and AI/ML frameworks like TensorFlow or PyTorch. You will apply statistical modeling and semiconductor yield analytics to solve defect detection and classification problems using tools like Tableau, Spotfire, Vue, and FastAPI.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Mine complex manufacturing datasets to identify critical trends and causes for anomalies in real-time.
  • Build high-impact, user-centric dashboards and internal web-based tools for both technical and non-technical stakeholders.
  • Optimize SQL queries and Python scripts to ensure fast performance for large data volumes.
  • Model complex business logic and upgrade the codebase to professional engineering standards.
  • Architect AI/ML models using TensorFlow or PyTorch to drive predictive analytics.
  • Perform semiconductor yield analytics including defect detection, classification, and impact visualization.
  • Mentor junior engineers in software best practices and code quality.
  • Lead cross-functional projects by aligning stakeholders across the factory to achieve shared goals.

What we're looking for

  • Masterly command of SQL for extracting and aggregating data from diverse, multi-database environments.
  • Advanced proficiency in the Python data science stack, including NumPy, SciPy, and Pandas.
  • Experience architecting models using TensorFlow or PyTorch to drive predictive analytics.
  • Strong foundation in rigorous statistical methods, including parametric and non-parametric modeling.
  • Specialized knowledge of semiconductor defect domains and yield impact analysis.
  • Ability to visualize findings using Tableau or Spotfire.
  • Experience with web-based data delivery tools such as Vue and FastAPI.
  • Authorization to access information subject to U.S. export control laws.

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