Senior Data Scientist

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 strong 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.
Knowledge
Modelling requires general knowledge of Retail Panel production processes and methods. 3 topics are important 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
• Proficiency in statistical modeling and data analysis.
• Strong quality orientation and solution driven.
• Strong analytical and problem-solving skills.
• Ability to document and explain complex methodologies clearly.
• Familiarity with root cause analysis methods (such as 5_why method)
• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Extensive experience of working in an international environment
• Strong command of the English language
This role is ideal for individuals with a keen eye for detail and a passion for data and data science. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position.

Employment type
Full-time

Work arrangement
No