NielsenIQ
Retail
SeniorManager,DataScience
Neural analysis suggests this role is
optimal for mid candidates.
“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.
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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