Data Jobs in Germany

In this role, you develop scalable AI automation frameworks and translate complex business challenges into technical solutions, working closely with software engineering teams.

In this role, you develop adoption strategies for AI solutions, prioritize use cases, and establish governance models to ensure scalable deployment and measurable business impact.

In this role, you will develop AI automation frameworks and agent-based workflows, translating complex requirements into technical solutions and closely collaborating with teammates on API development and deployment.

In this role, you will design secure architectures and reference patterns for AI applications, consult agile teams on implementation, and secure against threats like data poisoning and model theft.

In this role, you analyze large datasets, develop and optimize machine learning models, and visualize results for departments and management while collaborating closely with IT and business.

In this Master's thesis, you will focus on developing powerful robot learning systems using teleoperation and demonstration data, creating hand-retargeting pipelines and data collection tools for complex manipulation tasks.

In this role, you will develop a conversational AI system that assists users in exploring and comparing products through natural dialogue while integrating RAG methods and agent-based architecture.

In this role, you assist clinical research teams with the statistical planning and analysis of studies in child and adolescent psychiatry, utilizing R, Python, and SPSS to analyze longitudinal data.

In this role, you will develop machine learning models, build data acquisition pipelines, and create interactive applications using RShiny or Streamlit to gain data-driven insights.

You analyze large datasets using Python and SQL, optimize dashboards in Tableau, evaluate AI features, and automate data connections to gain insights for product decisions.

In this role, you develop algorithms for generating synthetic data and 3D simulations to train robots in complex scenarios, enhancing their perception and decision-making capabilities.

In this role, you will develop robust simulation and data pipelines within the AI/Perception team to create synthetic 3D scenes for robot training and optimize their behavior models in complex environments.

In this role, you analyze energy data, perform SQL-based evaluations, and optimize data quality to sustainably improve processes in the energy sector.

In this role, you will develop methods for spatiotemporal statistical modeling and apply machine learning techniques to analyze and understand complex dynamic processes from time series data.

In this role, you will develop algorithms for data-driven analysis of dynamic systems, conduct literature reviews, implement solutions in Python, and systematically evaluate their performance.