Data Scientist

<div class="content-intro"><h3><strong>Who We Are</strong></h3> <p>VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a <strong>Human First</strong> philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. </p> <p>VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. </p> <p>For more information, please visit <a href="http://www.vml.com/" data-outlook-id="d4b7d1c3-8ad6-4b6d-ab45-d3cb5a3aebe1">www.vml.com </a>and follow along on <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__urldefense.com_v3_-5F-5Fhttps-3A_www.linkedin.com_company_vml_-5F-5F-3B-21-21JboVxjCXSME-21OhlpCfbkl1UcWPwns1-2DGtvHOzFh0QwHV49fsPgGw-2DVCCU1bCg8aQFI9vN-2Dy-2DVwaQcITH2j2XKzGKBIFRLYf2AUWVYY1dFGK6-24&d=DwMFaQ&c=euGZstcaTDllvimEN8b7jXrwqOf-v5A_CdpgnVfiiMM&r=zouFnm4jZMgDFaYF1uVcRY3rbgHWPca_luUrBUkT6Yc&m=QzcCgXCAOjzj5hiU48_CKOdHRSJ4_YpuqfviT9yjlzH5VrkzySTZ-WaQXlYAnj4W&s=jJ7q5V70u9oUx7ONPm5jC3IK8y6vxDilX6BGTlqlWlA&e=" data-outlook-id="a3ef68bf-16fb-4ebc-9ca9-406007d6cefc">LinkedIn</a> #WeAreVML.</p></div><h2>VML Luxembourg</h2> <p>VML Luxembourg is one of the leading Amazon consulting agencies in Europe. Offering 360° services for Amazon, we have a diverse range of products and services in various sectors to ensure long-term sales growth, ranging from creating multilingual content and listings to all aspects of advertising, including sales promotion, PPC and programmatic campaigns. We are part of WPP, the world’s largest digital media agency, and manage WPP’s European Center of Excellence for Amazon (ACE) dedicated to maximising performance, driving sales and building brands on the Amazon platform.</p> <h2>The opportunity:</h2> <p>We’re looking for a <strong>Senior Data Scientist </strong>(Individual Contributor) to join our Data Services team in Luxembourg. You will lead research and enablement around new retail media, ecommerce, and marketplace data sources and APIs (including clean-room style environments and third-party aggregators), and turn them into analytics, decision models, and tool logic that improve content delivery and media management workflows. You’ll collaborate closely with BI Engineering and Data Delivery, and you’ll also be client-facing, building trust, explaining methodologies, and driving adoption.</p> <h2>What you’ll be doing:</h2> <ul> <li><strong>Research & onboard new data sources:</strong> Evaluate new first-party and third-party datasets/APIs, assess feasibility (availability, granularity, privacy constraints, refresh cadence, cost/value), and define how they can be used responsibly.</li> <li><strong>Develop scalable use cases:</strong> Convert business needs into clear analytical/modeling use cases that improve media execution, audience strategy, content decisions, and operational workflows. </li> <li><strong>Build decision models & tool logic</strong>: Create reusable data models and decision frameworks that power internal tools and client solutions (e.g., prioritization, recommendations, forecasting, guardrails). </li> <li><strong>Apply ML/AI thoughtfully: </strong>Prototype and implement ML/AI approaches to refine targeting, campaign management, and content decisions, with a focus on explainability, measurement, and business impact.</li> <li><strong>Partner with BI Engineering & Data Delivery: </strong>Help operationalize logic into reliable datasets, transformations, and production workflows; support day-to-day troubleshooting, validation, and standardization. </li> <li><strong>Client interface & enablement:</strong> Explain the “why” behind models, metrics, dashboards, and tools; guide adoption through clear communication, documentation, and training.</li> <li><strong>Commercial support & storytelling:</strong> Join client pitches to capture requirements, assess feasibility, present existing solutions, and create case studies that showcase capabilities and outcomes. </li> </ul> <h2>What we want from you:</h2> <ul> <li><strong>8+ years </strong>of experience in Data Science / Applied ML / Advanced Analytics (ideally in digital advertising, retail media, e-commerce, or marketplaces).</li> <li>Expert <strong>Python </strong>skills for analysis and modeling; strong engineering discipline (clean, testable, maintainable code).</li> <li>Advanced <strong>SQL </strong>and strong capability working with large, multi-source datasets and complex business logic.</li> <li>Strong foundation in <strong>statistics, measurement, and experimentation</strong>; able to defend methodology and trade-offs with clients and stakeholders.</li> <li>Proven experience building <strong>decision models that are operationalized </strong>(not only research prototypes), including clear assumptions and robust evaluation.</li> <li><strong>MLOps experience</strong>: deploying/operationalizing models, monitoring performance and d