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Director and Head of CRM Analytics and Science (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
head/director
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director and Head of CRM Analytics and Science (AI): Leading data science strategy and production machine learning for CRM, lifecycle marketing, personalization, and channel optimization with an accent on customer engagement, category growth, and real-time decisioning. Focus on building high-performing data science teams, developing recommendation and optimization models, and establishing experimentation, causal inference, and scalable marketing data infrastructure.

Location: Seoul, South Korea

Company

hirify.global is a large global public commerce company building technology-driven shopping, eating, and lifestyle services in South Korea.

What you will do

  • Define the vision and technical roadmap for CRM, lifecycle marketing, and channel optimization data science.
  • Build, mentor, and scale data science and applied research teams.
  • Lead machine learning, personalization, recommendation, and optimization models across push, SMS, email, and onsite marketing.
  • Develop data science solutions for acquisition, activation, retention, churn prevention, and category growth.
  • Partner with Product, Engineering, Growth Marketing, and data infrastructure teams to productionize scalable real-time personalization systems.
  • Advise senior leadership and communicate model mechanics and measurable business impact.

Requirements

  • Undergraduate degree or higher in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative discipline.
  • 8+ years of experience in data science, machine learning, or advanced analytics.
  • 5+ years of direct leadership and management experience with high-performing data science teams.
  • Production experience delivering measurable business impact through machine learning models.
  • Strong knowledge of statistical modeling, machine learning, personalization or recommendation systems, and large-scale A/B testing.
  • Role location: Seoul, South Korea.

Nice to have

  • Experience with LTV modeling, churn prediction, marketing mix modeling, incrementality testing, or audience segmentation.
  • Advanced degree in a quantitative discipline.
  • Experience in large-scale technology or e-commerce environments.
  • Experience turning ambiguous growth objectives into technical execution.
  • Ability to influence technical and non-technical stakeholders with data-backed narratives.

Culture & Benefits

  • Startup culture supported by the resources of a large global public company.
  • Opportunities to drive new initiatives and innovations in a high-growth commerce environment.
  • Work on always-on, high-tech, hyper-connected customer experiences.

Hiring process

  • Application review, phone interview, onsite interview, and offer.
  • The process may vary depending on the role and scheduling circumstances.

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