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NielsenIQ

Global provider of consumer purchasing data

Data Science Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

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

Responsibilities

  • Develop and maintain data models for FMCG and retail measurement in the Korean market.
  • Design, validate, and refine Universe setting and projection methodologies based on panel data.
  • Perform data cleaning, processing, and quality validation to ensure robust output.
  • Collaborate with internal teams to define analytical approaches and methodologies for client projects.
  • Translate analytical findings into clear, structured storytelling for client communication.
  • Present the reasoning behind methodologies, assumptions, and outputs to clients.
  • Continuously improve data quality, projection accuracy, and modeling approaches.
  • Manage stakeholder expectations and contribute to effective project delivery.

Desired Qualifications

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

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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