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Зарплата не указанаРабота в офисеСовременный стекПонятные задачиМеждународная компания
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Текст:
Hirify AI/Оригинал
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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