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.
Our Sales Strategy & Operations team builds the go-to-market engine that helps connect our solutions with customer needs at scale. In this role, you will partner with senior sales leaders to solve high-priority strategic and operational challenges, improve seller productivity, and help drive revenue growth. You will lead core planning and execution processes across areas such as territory design, quota setting, forecasting, and performance reporting, while working closely with cross-functional partners including Finance, Deal Desk, Compensation, and Systems. You will also help evolve how we use automation and AI-enabled tools to improve decision-making, increase efficiency, and support execution across the business.
You’re a strategic and analytical problem solver who is comfortable navigating ambiguity, influencing cross-functional stakeholders, and translating data into clear recommendations. You bring strong communication skills, sound judgment, and a passion for improving how the business operates at scale.
Responsibilities
What you get to do in this role: