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Data Science - Manager

Seoul, 11, Korea, republic of

Live, first seen by us 14 days ago
Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and maintain data models for FMCG retail measurement in Korea

  • Design, validate and refine universe and projection methodologies from panel data

  • Clean, process and quality-check data to keep outputs robust

  • Turn analytical findings into structured stories and present methods to clients

  • Define analytical approaches with internal teams for client projects

From the employer’s posting
Develop and maintain data models for FMCG / 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
Translate analytical findings into clear, structured storytelling for client communication
Collaborate with internal teams to define analytical approaches and methodologies for client projects

What you’ll bring

All qualifications

Core experience

  • 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 (required)
  • Solid understanding of data processing, statistical concepts, and modeling fundamentals
  • Experience working with SQL and large-scale datasets

Preferred experience

  • 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
Qualification wording
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 (required)
Solid understanding of data processing, statistical concepts, and modeling fundamentals
Experience working with SQL and large-scale datasets
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
Education & alternatives
Qualifications - 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

About NielsenIQ

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Oct 21, 202614 days ago
Recorded sightings
108
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 14

Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down quickly
  • 19% of open jobs were reposted
Hiring record

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  • Python
  • SQL
Where the posting names them
- 5+ years of experience in FMCG, retail measurement, consumer analytics, or related industries - Hands-on experience with Python for data analysis and modeling (required) - Solid understanding of data processing, statistical concepts, and modeling fundamentals
- Solid understanding of data processing, statistical concepts, and modeling fundamentals - Experience working with SQL and large-scale datasets - Strong English communication skills (both written and spoken) — ability to effectively communicate with global teams and explain analytical outputs to clients

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

  • Develop and maintain data models for FMCG / 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 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

Qualifications

  • 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 (required)
  • Solid understanding of data processing, statistical concepts, and modeling fundamentals
  • Experience working with SQL and large-scale datasets
  • Strong English communication skills (both written and spoken) — ability to effectively communicate with global teams and explain analytical outputs to clients

Preferred 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

Additional Information

Our Benefits

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

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Company Description

We are looking for a Senior Data Scientist to support modeling and analytics for retail measurement data within the Korean FMCG market.

In this role, you will work as part of a collaborative team to solve client-driven business challenges. Rather than working independently, you will be assigned to projects by a team manager, partnering with cross-functional team members to define methodologies, align on analytical approaches, and shape client communication strategies.

A key responsibility of this role is to develop and validate Universe (population) definitions and projection methodologies, ensuring that panel data is accurately expanded to reflect the overall market.

Beyond analysis, you will play a critical role in translating data outputs into clear, compelling business narratives, explaining assumptions, methodologies, and reasoning directly to clients.

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Seoul, 11, Korea, republic of

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