Data Science Manager – Manufacturing Data

Gauss Labs

. Lead and develop data scientists through regular 1:1s, feedback, coaching, and performance management .

Posted 10/28/2026full-timeSeoul • South KoreaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science teams, translating complex problems into actionable plans, and fostering collaboration across technical and customer-facing teams. Proficient in statistical analysis, evaluation design, and guiding technical professionals in their career development.

Highest-signal resume keywords

Data Science LeadershipStatistical AnalysisTechnical JudgmentCommunication SkillsProblem Framing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceApplied Machine LearningData EngineeringStatistical AnalysisEvaluation DesignAnalytical WorkTechnical ReviewPerformance ManagementProblem SolvingActionable Analysis

Soft Skills

CoachingCollaborationFeedbackCommunicationTeam Management

Industry Keywords

Technical ExpectationsOnboardingContinuous ImprovementRisk ManagementCustomer-Facing TeamsIntegrated SolutionsTeam PracticesCapacity ManagementDependenciesAmbiguous Problems

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

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)