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Data Science Manager, Manufacturing Data

Gauss Labs

Hybrid
Yeoksam, Seoul
Full-time
Manager
Senior
8+ yrs
Salary not listedPosted 33m ago

Real job — pulled straight from Gauss Labs’s careers page · Verified November 4, 2026 · No reposts.

Job description

Gauss Labs is hiring a Data Science Manager, Manufacturing Data — a full-time, based in Yeoksam, Seoul role. Apply directly on Gauss Labs's careers page below.

Data Science Manager - Manufacturing Data (KR)

Team: Manufacturing Data

Location: Yeoksam, Seoul

Commitment: Full-time

Workplace Type: hybrid

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

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Frequently asked questions

What skills are required for Data Science Manager, Manufacturing Data at Gauss Labs?

The required skills for Data Science Manager, Manufacturing Data at Gauss Labs include: Data Science, Machine Learning, AI, Data Engineering, English.

What is the seniority level for Data Science Manager, Manufacturing Data at Gauss Labs?

Data Science Manager, Manufacturing Data at Gauss Labs is a Manager / Senior level position.

How do I apply for Data Science Manager, Manufacturing Data at Gauss Labs?

You can view the full description and apply for Data Science Manager, Manufacturing Data at Gauss Labs on EchoJobs: https://echojobs.io/job/gauss-labs-data-science-manager-manufacturing-data-kr-vd7fr.