Job Description

The Senior Data Scientist / Modelling role is responsible for designing, developing and maintaining Modelling for non-coop retailers.

Data Science oversee universe studies, set up the extrapolation for Retail Panels, select and design modelling technics for non-coop retailers, and support 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. Modelling:

• Select the modelling method of non-coop retailer modelling: via extrapolation, via basic modelling or via rawdata 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, need to develop new components.

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

• Once implemented, assess the feasibility to handover to Operation for ongoing maintenance and execution. Otherwise,



define the process for execution by Data Science team.

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

1. Knowledge

Modelling requires general knowledge of Retail Panel production processes and methods. 3 topics are key to deeply understand

Universe Studies:

• Methods and Data sources for universe studies, in collaboration with Data Science leads for the workstream.

As part of modelling, knowledge of the non-coop retailers can be gained from standard universe studies, but if it’s not possible or not sufficient, additional knowledge is required, feasibility and relevance must be assessed.

Extrapolation:

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

Quality and Projects

• Business knowledge regarding channel definitions, samples design, client’s usage of Retail Panel

• Participate to Data Science global projects, in close collaboration with the Research team

📌 Senior Data Scientist (Vadodara)
🏢 Nielseniq
📍 Vadodara