Data Science Manager - Manufacturing Data (KR)
At Gauss Labs · Yeoksam, Seoul
- Data and ML
- Full-time
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Where you’ll work
Hybrid, based in Seoul
“Yeoksam, Seoul”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 28 October 2026
- First seen by us
- 29 October 2026
- Last checked
- 7 hours ago
Job description
From Gauss Labs’s job post, as they wrote it.
The Data Science Manager leads and develops a team working at the intersection of manufacturing, data science, and AI. You will help the team understand customer and product needs, guide technical approaches, and deliver reliable solutions for manufacturing use cases. This is a hands-on leadership role: you will combine people management with technical judgment while partnering closely with Team Leads and cross-functional teams.
Read the full description
Responsibilities
Lead and develop data scientists through regular 1:1s, feedback, coaching, and performance management. Support hiring, onboarding, and capability development for the team. Set technical expectations and review data science, data engineering, and analytical work. Help translate manufacturing and customer problems into technical plans, success criteria, and actionable analysis. Partner with Team Leads to align priorities, ownership, capacity, dependencies, and risks. Work with Product, AI/ML, Software Engineering, SRE, and customer-facing teams to deliver integrated solutions. Improve team practices for technical review, knowledge sharing, and continuous improvement. Surface team and delivery risks early and communicate them clearly to relevant stakeholders.
Basic Qualifications
Bachelor’s degree in a technical or quantitative field, or equivalent practical experience. 8+ years of related experience in data science, applied machine learning, analytics, data engineering, or a related technical discipline, including substantial hands-on data science experience. 3+ years of experience leading or managing technical professionals and supporting their career growth. Strong technical judgment in data science, including problem framing, statistical analysis, evaluation design, and interpretation of results; able to review analytical and modeling approaches and guide trade-offs. Demonstrated ability to turn ambiguous problems into clear plans and outcomes. Strong communication and collaboration skills across teams and functions. Professional Korean and working English (confirm based on customer and team needs).
Preferred Qualifications
Experience in semiconductor manufacturing, industrial AI, or manufacturing data. Experience delivering data science or AI solutions in customer or production environments. Familiarity with feature engineering, model evaluation, or manufacturing process analytics. Experience building team practices, hiring plans, or technical career development paths.
[Interview process]
Application review - Phone interview - Virtual onsite interview - Core Value interview - CEO interview
Data Science Manager - Manufacturing Data (KR)Gauss Labs
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