7 data quality expert jobs found in Berlin

About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. About the Role As Gropyus moves into the next phase of scaling up, we anticipate our Data growing rapidly. As such, we're looking for a professional, enthusiastic Data Governance professional to join the Data and AI vertical. This role reports to the Lead of the Data Language team and will act as an individual contributor as well as a thought partner for our Data leadership team and stakeholders. A...

Berlin Full-time Permanent position Description Do you want to work in Data Science & Analytics where it really matters – on complex industrial projects with a direct impact on management-level decisions? At DRIVE Consulting, you'll work on challenging issues for leading industrial companies. You'll support the implementation of data-driven decisions in transformation and consulting projects. Our analyses and dashboards are directly integrated into our clients' reporting and decision-making processes. In this role, you'll work hands-on on analytics solutions and support the development of dashboards, the analysis of complex data, and the creation of data structures and pipelines. You'll accompany projects from requirements analysis and concept development to implementation, continuously developing your technical and methodological skills. Your tasks You will work on analytics workstreams in client projects and take responsibility for your own...

Location Germany - Berlin Contract Full time Job Category Software Engineering - Backend THE ROLE & THE TEAM As a   Fullstack Software Engineer   in the   Transport Planning Optimization team   within the Logistics Technology department, you will design and implement crucial systems that power the efficient delivery of millions of items to our customers. Our Berlin-based team is dedicated to building and continuously improving a robust Transport Management System. Your work will focus on creating intelligent, scalable solutions that optimize transport plans, from initial forecasts and scheduling to final execution and settlement, leveraging real-time data and advanced algorithms. You will have a huge impact on the performance and cost-effectiveness of Zalando's Logistics while continuously growing your fullstack skillset in a collaborative, learning-focused environment. INCLUSIVE BY DESIGN If you think you have what it takes, we encourage...

working hours Full-time Entry date From now on Duration of employment Temporary Application deadline April 19, 2026 Location: Charité Campus Benjamin Franklin, Steglitz Identification number 6352 pay grade E13 Work at the Charité The Research Center for Cardiovascular Prevention (FS-CPC) was founded at Charité in July 2022 and aims to explore new avenues in the prevention of cardiovascular diseases. The focus is on maintaining individual health and promoting research into innovative precision strategies. We offer an exciting working environment in a newly developing medical field of cardiovascular prevention in an innovative, modern center at one of the largest university hospitals in Europe. You will become part of a friendly and highly competent team at the FS-CPC and the Center of Digital Health, in the working group of Prof. Dr. R. Eils at the Berlin Institute of Health...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline April 3, 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...

Location Berlin Remuneration Pay group 13 higher service TV EntgO-DRV (60,072.01-86,114.70 euros) Entry date As soon as possible occupation Part-time (permanent), Full-time (permanent) Application deadline 03. April 2026 Tender number 11-027-2026 Tasks Developing and evaluating metrics for quality assurance of generated responses in RAG systems Optimizing indexing and search strategies to improve the accuracy and efficiency of RAG applications Developing and implementing data science applications with a cross-functional team and/or external service providers. Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting, etc.) and in the context of GenAI (for example, Large Language Models, Fine-Tuning, etc.) Visualizing and analyzing large datasets, for example to detect bias or data drift; optimizing and maintaining semi-automated MLOps...