7 data management jobs found in Potsdam

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...

We are seeking a technically skilled and passionate Senior-level Data Scientist with expertise in machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cutting-edge technology to develop Machine learning solutions that optimize our sales and processes. As a Data Scientist at AUTO1 Group in the outflow sales team, you’ll work on solving complex business challenges such as providing personalized recommendation, dynamic pricing for inventory cars, managing demand forecasting for used car markets and finance risk prediction. You’ll drive end-to-end development from prototyping innovative solutions to deploying scalable models. Working closely with devops, engineers, and product teams, you’ll leverage machine learning to...

Berlin based - m/f/d - full time What we do at Plato Plato is the AI-powered Sales Intelligence platform built specifically for B2B wholesale. We transform reactive sales teams into proactive revenue engines by surfacing hidden opportunities in their data. Our platform identifies which customers are at risk, who's ready to buy more, and what products to recommend next - turning thousands of signals into clear next actions. The Wholesale Challenge Why wholesale is different from everything else you've worked on: Imagine building ML for a world where: Your "best customer" might buy twice a year - but spends €500K each time A customer churning doesn't mean they stopped needing your products - they just found another supplier Product catalogs contain 100K+ SKUs but even your best customers only know 500 of them A "trend" might be 3 data points over 18 months Success means helping a sales rep know which of their 200 customers needs...

Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners across the globe. About this role As a Data Science Manager for the Logistics online world, you will be responsible for developing well-engineered, robust, and high-quality data-driven solutions and platforms that drive optimization and strategic insights for our global logistics business. You will play a key role in shaping the vision and execution of data science initiatives, ensuring alignment with business needs and strategy. Location: Berlin, London, or Amsterdam Reporting to: Leadership team of the Product Logistics Data & Analytics team These...

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...