--- title: 'Data Science Manager - Manufacturing Data (KR) at Gauss Labs' canonical: 'https://feeny.ai/job/data-science-manager-manufacturing-data-kr-gauss-labs-seoul-34s1s4jvx6df' type: 'job' last_seen: '2026-11-10' --- # Data Science Manager - Manufacturing Data (KR) at Gauss Labs - **Company:** Gauss Labs - **Location:** Seoul, South Korea - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-11-10 - **Apply:** https://jobs.lever.co/gausslabs/5fa3db2c-a116-4f15-a023-e2c4caded34a ## Job description 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. ## 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 ## About Gauss Labs ## Company Overview - **One-liner**: Gauss Labs revolutionizes manufacturing by building industrial AI solutions that leverage machine-generated data to make factories more intelligent. - **Entity Type**: Private (funded by a single corporate round in 2020) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2020 - **Founders**: Mike Young-Han Kim (CEO) ## Core Business - **Primary industry/industries**: Industrial AI, Semiconductor Manufacturing Intelligence, Software Development - **Target customers**: B2B – primarily large semiconductor manufacturers (e.g., SK hynix) and other advanced manufacturing firms - **Mission or purpose statement**: “We normalize AI. We revolutionize manufacturing.” – Gauss Labs aims to reshape manufacturing through innovative industrial AI systems beyond human capabilities. ## Products & Services - **Panoptes VM (Virtual Metrology)**: An AI-based solution that predicts wafer manufacturing process outcomes, enabling real-time process control and reducing the need for physical measurements. Deployed at SK hynix since 2023. - **Panoptes IM (Image Metrology)**: An end-to-end image metrology solution covering image processing, metrology, and analytics. Helps extract highly precise and repeatable measurements from manufacturing images. - **Manufacturing Data Intelligence (MDI) Solutions**: A broader suite of proprietary AI algorithms that turn machine-generated data into actionable insights for factory optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding – $55 million (corporate round, led by SK Hynix, September 2020) - **Notable Investors/Partners**: SK Hynix (sole investor and strategic partner), with published research at SPIE AL 2024 on AI-based semiconductor metrology. - **Growth Signals**: - Headcount growth of +2.8% YoY (64 employees as of 2025) - Active job postings in US and Korea (6 open roles) - Deployment of Panoptes VM at SK hynix’s wafer fabrication lines - Patent filings in end-to-end process control and anomaly detection (2024) ## Competitive Advantages - **Deep domain expertise**: Combines cutting-edge AI/ML knowledge with hands-on manufacturing domain knowledge, especially in semiconductor fabrication. - **Proprietary AI algorithms**: Developed in-house for manufacturing data intelligence, validated through real-world deployments at scale. - **Tight partnership with SK hynix**: Access to real-world manufacturing data and a channel for immediate impact, creating a strong moat in the semiconductor AI space. - **Global distributed team**: Offices in Palo Alto (HQ), Seoul, and Vancouver, enabling 24/7 development and close collaboration with Asian manufacturing hubs. ## Strategic Focus - **Current priorities**: Scaling its AI-based virtual metrology and image metrology solutions to additional semiconductor fabs and expanding into other manufacturing verticals. - **Growth direction**: Continued investment in R&D (patents, SPIE publications) and hiring for AI, software engineering, and forward-deployed roles to deepen product capabilities and customer reach. ## Why Work Here - **Culture highlights**: Gauss Labs emphasizes “normalizing AI” and values ownership, fearless experimentation, and collective learning. The company is described as having a balanced and inspiring leadership. - **Remote/hybrid/office policy**: - Palo Alto: Hybrid working environment - Seoul: Hybrid working environment - Vancouver: Full remote working environment - Generous PTO, flexible hours, and remote work options - **Notable perks**: Comprehensive health insurance (medical, vision, dental) for employees and dependents; 401(k) with company matching in the US; group insurance and private health plan in Korea; robust savings plans; career development programs; team-building events. - **Engineering culture**: High proportion of technical staff (38% technical, 14% research), with strong talent drawn from top companies like SK hynix, Samsung, Amazon, and AWS. Employees report a 3.8/5.0 employer rating (Work-Life 4.0, Compensation 4.2, Culture 3.5). ## Sources 1. [gausslabs.ai](https://www.gausslabs.ai/about-us) – About Us page 2. [gausslabs.ai](https://www.gausslabs.ai/career) – Careers page 3. [linkedin.com](https://linkedin.com/company/gauss-labs-ai) – LinkedIn company page (aggregated data) 4. [builtin.com](https://builtin.com/company/gauss-labs) – Built In company profile 5. [jobs.lever.co](https://jobs.lever.co/gausslabs) – Current job openings ## Other roles at Gauss Labs - [Software Engineer (KR)](https://feeny.ai/job/software-engineer-kr-gauss-labs-seoul-314d434d6xdp) — Seoul, South Korea - [Senior Software Engineer (KR)](https://feeny.ai/job/senior-software-engineer-kr-gauss-labs-seoul-qpxtgtm3x958) — Seoul, South Korea - [Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/data-scientist-manufacturing-data-kr-gauss-labs-seoul-6dgdz3pbgxcj) — Seoul, South Korea - [Senior Data Scientist - Manufacturing Data (US)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-us-gauss-labs-palo-alto-1rkgkj4qjpj3) — Palo Alto, CA - [Senior Talent Acquisition Partner (KR)](https://feeny.ai/job/senior-talent-acquisition-partner-kr-gauss-labs-seoul-3cww2bns41s0) — Seoul, South Korea - [Forward-Deployed Site Reliability Engineer (KR)](https://feeny.ai/job/forward-deployed-site-reliability-engineer-kr-gauss-labs-seoul-gdg4bf0588qt) — Seoul, South Korea - [Senior Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-kr-gauss-labs-seoul-7mxybzg57532) — Seoul, South Korea - [Senior AI Engineer - Machine Learning (US)](https://feeny.ai/job/senior-ai-engineer-machine-learning-us-gauss-labs-palo-alto-my50txca82ab) — Palo Alto, CA - [AI Scientist - Machine Learning (KR/US)](https://feeny.ai/job/ai-scientist-machine-learning-kr-us-gauss-labs-palo-alto-8fggv3qzs4n1) — Palo Alto, CA / Seoul, South Korea - [Talent Pool (KR)](https://feeny.ai/job/talent-pool-kr-gauss-labs-seoul-fk05db67et2a) — Seoul, South Korea