Senior Data Scientist

• 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 and NLP
• Strategic and technical involvement in shaping the company-wide technology landscape for further development into an AI-savvy organization.
• Mentoring of junior and mid-level data scientists and clear communication of complex results to all stakeholders

DRV Bund IT is the service provider for the German Federal Pension Insurance Fund (Deutsche Rentenversicherung Bund) and develops and operates a complex IT system landscape in close collaboration with its clients.
Our software for the audit service safeguards the pension system. Through our work, we make a significant contribution to contribution fairness. We uncover wage irregularities for employees, thereby ensuring fairness on a personal level for citizens as well. The agile values ​​of commitment, courage, focus, openness, and respect form the basis of our work. Our employees are our most valuable asset. They form the foundation of development within the department and play a key role in shaping it.

• A successfully completed academic university education (Master's or Diploma) in an IT, economics, natural sciences or engineering field.
• Extensive professional experience in the development of ML methods and the modeling of complex automated AI systems, including several years of professional experience as a Data Scientist
• Demonstrable project experience with agile methodologies (e.g., Scrum) and at least one AI reference project
• Several years of practical experience in Python including common machine learning frameworks (for example, scikit-learn, PyTorch) and experience with advanced analytics technologies/tools.
• Extensive knowledge of advanced statistical methods and causal inference, as well as proven expertise in various ML algorithms.
• Knowledge of database management systems, container technologies (for example, Kubernetes) and their interaction with classic database environments
• Proactive communication skills, a strong willingness to cooperate, and networked thinking in agile collaboration round off your profile.

People with severe disabilities or those with equivalent status as defined in Section 2, Paragraphs 2 and 3 of the German Social Code, Book IX (SGB IX), will be given preferential consideration if equally qualified. Applications from people of all nationalities are welcome.

This job posting relates to an area where women are underrepresented as defined by the Federal Equal Opportunities Act. The German Federal Pension Insurance Fund is committed to promoting women in the workforce. We therefore particularly welcome applications from women.