5 data science jobs found in Mainz

Advance your career with your own vision – we are looking for you! Are you independent, driven, and set high standards for yourself and your work? Are you a team player who wants to shape the future, make a difference, and realize your ideas? Then you've come to the right place: Join our Business Development & Analysis team in the Asset Management division. As a bank with a distinctive vision, we have consistently lived by our core values ​​since 1674: independence, entrepreneurial spirit, and humanity – and we are resolutely focused on the future. In doing so, we combine tradition with innovation and create the foundation for modern, forward-looking solutions. Your new challenge They are the central point of contact for the professional and technical processes surrounding (customer) reporting solutions in asset management. They are responsible for the strategic and operational development of our (customer) reporting solutions in close coordination with...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work at the intersection of compilers, hardware, and performance. Your work will help us build intelligent systems that understand complex program behavior and improve how software runs on modern processors. You will apply machine learning to structured program representations, compiler transformations, and real-world performance measurements. What you will be doing...

At Liebscher & Bracht, we don't believe in gut feeling in e-commerce. We believe in data that clearly shows what works – and what doesn't. That's why we're building a setup where analytics, tech, and business are tightly integrated. And that's exactly where you come in. Are you eager to delve deeper into data, identify patterns, and derive real decisions from them? Do you want to do more than just create reports, but truly understand how an e-commerce business grows? Your mission: You help us make data-driven decisions the new normal. You build dashboards and KPI systems for e-commerce, marketing, and finance. You analyze traffic, conversion, and customer journey data and identify growth drivers. You connect data from the shop, CRM, marketing and app and help build clean, scalable data pipelines. You will be working on building our data and analytics infrastructure (including data warehouse). You automate reporting and data processes using Python,...

Who we are / What we do LINK2AI GmbH is a startup that enables the responsible and secure use of language models in companies. To achieve this, we are building a platform that monitors the use of LLMs at runtime, thereby preventing potential problems. We develop and utilize state-of-the-art techniques to effectively address these emerging challenges. How you fit into our team You show initiative and are able to independently design and implement concepts. You are creative, enjoy scientific work and expert discussions. You want to bring the latest research and development results to market maturity. Your language skills in German and English are good. You have relevant practical experience IMPORTANT: You can meet with the team in Frankfurt at least once a week. Your tasks Conception, development and testing of NLP analysis methods Further development of an internal tool for the automated generation of training datasets Qualifications: What...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...