Job Description

Purpose of the role – mission

The Data Scientist role is responsible for designing and leading universe studies, setting up the extrapolation for Retail Panels, discussing and designing rawdata modelling for non-coop retailers, and supporting root-cause analysis in case of client’s complaints when related to these activities.

This role requires solid data fluency, analytical skills with the ability to assess data relevance, and a deep understanding of retail panels and their value.

Key activities:

1. Universe Studies:

• Design and lead universe studies, acting as a “project manager” for these studies.

• Document methodologies for transparency and provide clear explanations of selected methods.

• Validate the universe estimation.

• Conduct impact analysis of universe studies where relevant.

2. Extrapolation:

• Design and simulate extrapolation setups for new panels.

• In case of major change in the sample of a channel, redesign its extrapolation matrix, conduct impact analysis where relevant.

• Support StatOps team in case of minor events (how to select a donor shop for a copy shop or a create shop, how to slightly update the extrapolation in case of e.g. empty cell, discuss quality issues / risks in case of weak / weaker sample).

• Assess the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design, the sample size = recommend target for recruitment, etc.)





• Specify sample checks per country_channel and ensure that they are properly executed by Operation teams.

• Jointly with Operation, review the quality of the existing extrapolation and recommend / redesign if necessary (feedback loop from MDQC teams).

• Update the Target Sample File every year and in case of significant change in the universe or the sample.

3. Modelling:

• Assess the feasibility of non-coop retailer rawdata modelling outside of the system: business interest (in collaboration with Product), availability of data sources, usability of modelling components

• Design the solution, test the development, review the quality once implemented, review every year the relevancy of the solution

• Once implemented, handover to Operation for ongoing maintenance and execution.

• Support Commercial teams and Client Operation to explain the methodology of a Rawdata modelling.

4. Quality and Projects

• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.

• Resolve Level 2 methodology clarification issues.

• Support Major Data Change required by a redesign recommended by Data Science (major change in the universe, major redesign of an extrapolation, major redesign of a rawdata modelling): support the definition of the action plan, support the client communication.

• Participate to Data Science regional and global projects

📌 Data Scientist (Vadodara)
🏢 Nielseniq
📍 Vadodara