Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Data Scientist - Manufacturing Data

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

A Bachelor of Science in Computer Science, Data Science, Electrical Engineering, or a related field is required.
Experience or strong interest in applying data science techniques to real-world problems, especially in manufacturing or industrial domains.
Proficiency in Python and the ability to write clean, maintainable code.
Ability to travel domestically to customer sites as needed, up to 20% of working hours.
Fluency in Korean.

Responsibilities

Design and implement customized artificial intelligence solutions for manufacturing.
Analyze manufacturing data to uncover opportunities and develop artificial intelligence models.
Work closely with clients and internal teams to ensure solutions are feasible, scalable, and aligned with product strategy.
Develop internal analysis tools to enhance data exploration and reporting.

Desired Qualifications

A Master of Science in Computer Science, Data Science, Electrical Engineering, or a related field.
At least two years of experience leading artificial intelligence or data science projects in the semiconductor industry or another manufacturing field.
Familiarity with databases, including SQL and NoSQL, and version control systems such as Git.
Knowledge of a machine learning operations (MLOps) pipeline.
Fluency in English.

Gauss Labs is seeking a data scientist who is passionate about data analysis and has a strong coding skills. In this role, you will contribute to developing AI solutions that address real-world challenges in the manufacturing industry, as well as building analytical tools that enable deeper understanding of complex data.

Your responsibilities will include mining, interpreting, and analyzing customer data to uncover hidden opportunities and fully leverage its potential. You will also develop tailored data models and tools to address specific customer needs. To achieve this, you will closely work with our cross-functional teams and collaborate with our customers to understand their unique challenges and data characteristics.

This position offers a unique opportunity to work with real-world, real-time manufacturing data and contribute to cutting-edge AI products that make a tangible impact. Together with a team of passionate and talented Gaussians, you will help shape innovative solutions by identifying new product features derived from a deep understanding of customer data.

We are looking for individuals who are eager to grow into ambidextrous experts—those who can excel in both AI technology and domain expertise to drive innovation at the intersection of data and industry.

Responsibilities

Design and implement customized AI solutions for manufacturing.

Analyze manufacturing data to uncover opportunities and develop AI models.

Work closely with our clients and internal teams to ensure solutions are feasible, scalable, and aligned with product strategy.

Develop internal analysis tools to enhance data exploration and reporting.

Basic Qualifications

BS in Computer Science, Data Science, Electrical Engineering or a related field.

Experience or strong interest in applying data science techniques to real-world problems, especially in manufacturing or industrial domains.

Proficiency in Python ability to write clean, maintainable code.

Travel domestically to customer sites as needed (up to 20% of working hours).

Fluency in Korean.

Preferred Qualifications

MS in Computer Science, Data Science, Electrical Engineering or related field.

2+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field.

Familiarity with databases (SQL and NoSQL) and version control systems (e,g., Git).

Knowledge with MLOps pipeline

Fluency in English.

[Interview Process]

Application review - Phone interview - Virtual onsite interview - VP interviw/Core Value interview - CEO interview

About the Company

Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Gauss Labs builds AI-powered software for manufacturing, with a focus on the semiconductor sector. Its products monitor and optimize factory processes by collecting machine-generated data from production lines and running AI models on scalable software infrastructure to detect anomalies, improve quality, and reduce downtime. The company differentiates itself through deep domain expertise in industrial AI, a leadership team with a background in enterprise ML and product development, and a cross‑border presence in Silicon Valley and Seoul to serve large manufacturing customers with enterprise-grade solutions. The goal is to make semiconductor factories more efficient and reliable by turning data into actionable insights and automated process improvements.

Company size: 51-200
Company stage: Late Stage VC
Total funding: $55M
Headquarters: Palo Alto, CA
Founded: 2020

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