Data Scientist - Manufacturing Data (KR)

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.

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.

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.

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