3 data scientist jobs found

Job Title Senior Data Scientist - Advertising division As part of Amadeus Hospitality, the main objective of the   Advertising division   is to   drive demand   and   boost client market shares   by advertising their products in all the possible mediums and channels (web searches, web, social, GDS, mobile). Our customers are hotels who aim to attract more guests, cities or regions who want to attract more visitors as well as airlines who strive to attract more travelers. Over the years, Amadeus has built a leading data-driven travel advertising platform complemented by strategic partnerships with advertising giants (Google, Facebook, Microsoft, … to name a few), that can reach   billions of travelers   globally every day. As our business continues to grow rapidly, we are looking for curious, driven, and innovative individuals who want to solve complex problems and help shape the future of travel advertising. Every day, our machine...

Help build ML systems that make financial crime harder to hide Financial crime is constantly changing. New patterns and behaviors emerge all the time, and the data we work with is complex. Our work helps make financial activity safer and more trustworthy for merchants, customers, and SumUp. As a   Senior Data Science/ML Engineer   in the Risk AI Engineering Squad, you will build the production systems that turn machine learning into reliable, explainable transaction-monitoring capabilities. You will work across the full model lifecycle: understanding financial-crime typologies, exploring data, engineering features, training and validating models, deploying them at scale, and monitoring their performance over time. This role is designed for someone who is strongest on the engineering side of machine learning and wants to keep growing their data-science depth. You do not need to be a traditional data scientist or ML Engineer. We're looking for someone who enjoys...

We Want You to Grow With Us High-quality, reliable data is the foundation on which every AI use case is built, and this role is responsible for making that foundation unshakeable. As our Data Engineer for AI Pipelines & DataOps, you will design and deliver the ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale. You will report into the AI ​​Program and work in close collaboration with AI engineers, data architects, and business teams, with a particular focus on manufacturing environments, where edge device data presents unique ingestion challenges. At Intersnack, we build on a solid digital foundation, and your engineering work will be central to extending that foundation into the AI ​​era. What We Can Offer This role offers the opportunity to work across a genuinely diverse data landscape, from manufacturing edge devices and IoT sensors to structured enterprise data...