Data Scientist

About the Role

The Data Scientist at NielsenIQ is pivotal in designing and leading universe studies, establishing extrapolation frameworks for Retail Panels, modeling raw data for non-cooperative retailers, and supporting root-cause analysis for client complaints.

Key Responsibilities:

• Universe Studies: Act as project managers to design/study universes, document methodologies transparently, validate estimates, and conduct impact analyses.
• Extrapolation Design: Simulate setups for new panels, redesign matrices following sample changes, support the StatOps team with minor events (e.g., donor shop selection), assess compliance of extrapolation designs, specify country-channel checks, review quality feedback loops with MDQC teams, and update target sample files annually.
• Modelling: Assess feasibility for non-coop retailer raw data modelling outside systems, design/test solutions, ensure operational handover, support commercial teams in explaining methodologies, and conduct annual relevance reviews.
• Quality & Projects: Implement new country-channel setups (reviewing definitions/universes), resolve Level 2 methodology issues, support major data change action plans/communications, and participate in regional/global Data Science projects.

Qualifications

• Strong analytical/problem-solving skills with proficiency in statistical modeling and data analysis.
• Ability to document complex methodologies clearly.
• Familiarity with root cause analysis (e.g., 5-Why method).
• Excellent communication/organizational skills; ability to work independently and collaboratively.
• Knowledge of Point-of-Sale (PoS) production processes.
• Extensive experience in international environments, strong quality orientation, solution-driven mindset, and advanced English proficiency.

NielsenIQ Benefits

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