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4 data professional jobs found in Berlin

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Full time  (4)
Charité
21/03/2026
Full time
Postdoctoral Researcher (m/f/d) Focus: Data Science & Genetic Risk Models, Research Associate
Charité Berlin-Steglitz-Zehlendorf, Germany
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...
Deutsche Rentenversicherung Bund
10/03/2026
Full time
Senior Data Scientist
Deutsche Rentenversicherung Bund Berlin, Germany
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...
Deutsche Rentenversicherung Bund
07/03/2026
Full time
Data Scientist
Deutsche Rentenversicherung Bund Berlin, Germany
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...
Deutsche Rentenversicherung Bund
07/03/2026
Full time
Junior Data Scientist
Deutsche Rentenversicherung Bund Berlin, Germany
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...
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