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Senior Data Scientist - Retail Measurement (FMCG)

NielsenIQ · Seoul

New
Senior 🇬🇧 English
Python SQL

Job description

About the role

NielsenIQ is looking for a Senior Data Scientist to support modeling and analytics for retail measurement data within the Korean FMCG market. You will work in a collaborative team solving client-driven business challenges: projects are assigned by a team manager, and you partner with cross-functional colleagues to define methodologies, agree on analytical approaches and shape client communication. A key responsibility is developing and validating Universe (population) definitions and projection methodologies so that panel data accurately reflects the overall market.

Key responsibilities

  • Develop and maintain data models for FMCG and retail measurement in the Korean market
  • Design, validate and refine Universe settings and projection methodologies based on panel data
  • Clean, process and validate data quality to ensure robust output
  • Work with internal teams to define analytical approaches and methodologies for client projects
  • Turn analytical findings into clear, structured storytelling for clients, explaining assumptions, methodologies and reasoning
  • Improve data quality, projection accuracy and modeling approaches
  • Manage stakeholder expectations and contribute to effective project delivery

Required profile

  • 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 fields
  • Strong English, written and spoken, to communicate with global teams and clients
  • Preferred: experience with consumer panel data, Universe building and projection methods, and project-based, client-facing work

Required skills

  • Python for data analysis and modeling (required)
  • Solid understanding of data processing, statistics and modeling fundamentals
  • SQL and large-scale datasets

What we offer

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee Assistance Program (EAP)

Questions fréquentes

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Source : ats:smartrecruiters

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Published 3시간 전

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NielsenIQ

Seoul