Role Overview
As an Associate Director in Cost Management, you will lead the successful delivery of cost management services of construction projects from initiation to completion. You will be responsible for strategic planning, stakeholder management, governance, and execution, ensuring projects meet client expectations, quality standards, and budgetary targets. This role also includes cost oversight, team management and development, and contributing to business growth and innovation.
Key Responsibilities
Team Leadership & Development
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 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. 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.