Job Description
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Key Responsibilities
- Design and optimize statistical, machine learning, and deep learning models (recommendation, prediction, market response, market mix).
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Conduct statistical analysis (regression, ANOVA, correlation) to validate business hypotheses.
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Translate complex datasets into business insights to support product, marketing, and sales strategies.
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Lead data acquisition, API integration, and BI dashboard development (Tableau, Power BI).
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Collaborate with consultants and client executives to deliver digital transformation and analytics projects.
Job Requirements
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Qualifications
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Bachelor’s or Master’s degree in Computer Science, Statistics, or related fields.
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Proven expertise in data preprocessing, statistical analysis, and advanced ML modeling.
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Proficiency in SQL and Python (R a plus).
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Experience with external data collection, BI tools, and dashboard development.
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Industry exposure in retail, commerce, manufacturing, or consumer goods preferred.
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Excellent communication skills in English; Korean fluency preferred.
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Preferred Attributes
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Experience in consulting firms or in-house strategy/analytics teams.
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Hands-on exposure to AI/ML-based modeling.
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Strong ability to deliver data-driven insights that influence executive decision-making.
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Capacity to communicate technical results clearly to both technical and business stakeholders.
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