Senior Data Scientist

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Skills you'll use

What you'll do

• 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.
• Methods and Data sources for universe studies, in collaboration with Data Science leads for the workstream.
• 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.)
• Business knowledge regarding channel definitions, samples design, client’s usage of Retail Panel

Who can apply

• 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.

About NielsenIQ

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