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8 дней назад

Data Science - Manager (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Data Science - Manager (Python): Developing and validating FMCG retail measurement models and Universe projection methodologies for the Korean market with an accent on panel-data processing, statistical modeling, and client-facing analytical storytelling. Focus on improving projection accuracy, explaining assumptions and methodologies to clients, and managing stakeholder expectations across project teams.

Location: Seoul, South Korea; onsite role

Company

hirify.global is a consumer intelligence company providing retail measurement, consumer insights, and advanced analytics across more than 100 markets.

What you will do

  • Develop and maintain data models for FMCG and retail measurement in the Korean market.
  • Design, validate, and refine Universe definitions and projection methodologies based on panel data.
  • Clean, process, and validate data to ensure robust outputs and improve data quality and projection accuracy.
  • Collaborate with internal teams to define analytical approaches and methodologies for client projects.
  • Translate analytical findings into clear business narratives and explain assumptions, methodologies, and outputs to clients.
  • Manage stakeholder expectations and contribute to effective project delivery.

Requirements

  • Bachelor’s degree or above in Statistics, Mathematics, Economics, Data Science, or a related field.
  • 5+ years of experience in FMCG, retail measurement, consumer analytics, or related industries.
  • Hands-on experience with Python for data analysis and modeling.
  • Solid understanding of data processing, statistical concepts, and modeling fundamentals.
  • Experience working with SQL and large-scale datasets.
  • Strong English communication skills, written and spoken, with the ability to communicate with global teams and explain analytical outputs to clients.

Nice to have

  • Experience with consumer panel data, retail measurement, or similar datasets.
  • Hands-on experience with Universe building and projection methodologies.
  • Experience working in a project-based, team-driven environment.
  • Exposure to stakeholder and client-facing roles.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee Assistance Program.
  • AI may be used during recruitment, with human oversight and final hiring decisions made by people.

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