<div class="content-intro"><p><span data-contrast="none">We’re always looking for the ones </span><span style="color: rgb(112, 64, 164);"><strong><span data-contrast="none">truly passionate</span></strong></span><span data-contrast="none"> about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":6,"335551620":6,"335559738":0,"335559739":0}"> </span></p> <p><span data-contrast="none">More than 6000 colleagues are part of </span><span style="color: rgb(112, 64, 164);"><strong><span data-contrast="none">eMAG Teams</span></strong></span><span data-contrast="none">. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. </span><span style="color: rgb(112, 64, 164);"><strong><span data-contrast="none">Join us, grow faster</span></strong></span><span data-contrast="none"><span style="color: rgb(112, 64, 164);">!</span> </span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":6,"335551620":6,"335559738":0,"335559739":0}"> </span></p></div><p> </p> <h2 style="text-align: center;"><span style="color: rgb(112, 64, 164);">Commercial Data Scientist (Flip Team) </span></h2> <p> </p> <p>FLIP is the leading refurbished consumer electronics platform in Southeast Europe, operating across Romania, Hungary, Bulgaria, and Greece. As part of the eMAG ecosystem, we are building the most trusted marketplace for pre-owned devices, and growing fast. We run a data-driven, performance-obsessed commercial operation, and we are looking for someone who loves turning complexity into clear decisions. </p> <p>The Commercial Data Scientist acts actually as <strong>A Decision Intelligence operator</strong>. Are we taking the right decisions based on our strategy and objectives? Is the planning reflecting reality? What are the Risks & Opportunities and how can we tap them? Your role will build and consolidate models & frameworks that recommend the best way forward to hitting our targets and creating clarity for strategic choices & their trade-offs.</p> <p>This is a high-exposure role. You will present to senior leadership, challenge assumptions with data, and engage directly with Commercial/Growth, Marketing, Supply, Finance, Operations, and Product & Tech to turn insight into action. You will also co-create the engine behind FLIP’s forecasting capability: building the process, challenging the inputs and co-owning the accuracy.</p> <p><span style="color: rgb(0, 130, 230);"><strong>What you’ll have to do:</strong></span></p> <p><strong><u>What this role is really about</u></strong></p> <p>The core of the job is triangulation: reconciling several independent angles on the same number until you can defend it and explain what moved it. We expect you to triangulate three sets of drivers:</p> <ul> <li><strong>GMV: </strong>what is driving growth, or holding it back.</li> <li><strong>Profitability: </strong>the quality of that growth, not just its size.</li> <li><strong>Forecast accuracy: </strong>how much confidence we can put behind the plan.</li> </ul> <p>Triangulate means you never take a single number at face value. You cross-check top-down against bottom-up, model against actuals, volume against price, and you can always say which driver moved and by how much (by having a clear view of correlation and causality between drivers).</p> <p><strong><u>Responsibilities</u></strong></p> <ul> <li>Build and scale price elasticity models for the shop: conversion versus price at product level, feeding the Pricing engine directly, with clear guardrails on Gross Margin.</li> <li>Industrialize the Pricing engine: evolve it from its current Excel and Python setup toward an automated, product-level system.</li> <li>Design and execute pricing experiments and A/B tests across shops, and convert results into recommendations with quantified impact.</li> <li>Act as the sounding board for the Commercial team: pressure-test plans, assortment choices and price moves with data before they land.</li> <li>Be a sparring partner to the Demand/Growth team: challenge and sharpen the demand and pricing thinking behind the growth plan, not just report on it.</li> <li>Generate insights on elasticity, customer behavior and market dynamics per market, using fair like-for-like comparisons.</li> <li>Establish best practices for analytics, experimentation and AI usage, including automated reporting against budget and current forecast.</li> <li>Build models and frameworks that make trade-offs explicit: price versus volume, category mix versus margin, promotional cost versus incremental units.</li> <li>Act as a trusted analytical partner to growth, marketing, supply, finance, and product leadership, and navigate competing priorities across them.</li> </ul> <p><span s