EU remote
Senior Data Scientist
About this role
Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media , and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring. At Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more.
We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, Diageo, and JDE. As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance. The role As a Senior Data Scientist, you will join our Data Science team and work on advanced analytics problems at the core of our product, such as measuring the real impact of brands’ actions (retail media campaigns, promotions, pricing or availability changes) on their sales.
You will work with very large datasets collected daily across 1000+ e-retailers in 60+ countries. We are looking for someone with strong analytical judgement and a good understanding of causal methods, who cares about getting a reliable answer into the product more than about the most sophisticated model. You will work close to the business and product teams, so explaining results clearly matters as much as producing them.
Your Responsibilities Design and develop impact measurement solutions for our clients, from the analytical approach to a solution that can run at scale. Explore and analyze large-scale e-commerce data (prices, availability, search, retail media and sales) efficiently, to understand what drives sales, and validate that results make business sense. Choose the right level of complexity for each problem: start simple, iterate, and add sophistication only when it brings real value.
Work with Product, Data Engineers and ML Engineers to turn analyses and models into features of our platform. Communicate findings and limitations clearly to non-technical colleagues and, when needed, to clients. Share knowledge within the team and support less experienced data scientists. Your profile: 4+ years of experience as a Data Scientist or in an advanced analytics role, with solutions used in a real business context.