Data Scientist - Manufacturing Data (KR)
Yeoksam, Seoul
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
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What you’ll work on
Full postingDesign 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.
From the employer’s posting
Responsibilities Design and implement customized AI solutions for manufacturing. Analyze manufacturing data to uncover opportunities and develop AI models.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- 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
Qualification wording
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.
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
Tools in this posting
- Python
- SQL
- NoSQL
Source — Tool mentions in context
- 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).
- 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
Posting record
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- Live
- First seen by us
- Oct 15, 2026 · 1d ago
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Yeoksam, Seoul
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