NielsenIQ

Retail

SeniorManager,DataScience

$95000–145000k ~AI est. Seoul, South Korea FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Manager, Data Science at NielsenIQ. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. Develop and implement advanced statistical and machine learning. Design and build data pipelines”

Industry & Context.

Retail
Problems you'll solve

Analytical problem solving

What They're Looking For.

Must Have

Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, 5+ years of experience in data science or analytics, Proficiency in SQL, Experience with Python or R

Nice to Have

PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified

What You'll Do.

Develop and implement advanced statistical and machine learning

Design and build data pipelines

Create and maintain BI dashboards and reports

Perform quantitative analysis to drive business insights

Collaborate with engineering teams on data infrastructure

Mentor junior data scientists and analysts

Stay current with industry trends and best practices

How You'll Work.

Team & Collaboration

Cross-functional teams; Product managers; Engineering teams; Business stakeholders

Communication Scope

Present findings; Communicate insights

Full Job 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. * 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 * Around 6+ 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 larg

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