Pandas Jobs in Germany

In this role, you will develop backend services using FastAPI, optimize Dash dashboards for data analysis, and implement data pipelines while collaborating closely with business teams.

In this role, you develop data-driven decision-making foundations, build KPI structures and dashboards, and analyze data from various sources, particularly in the area of geographic information systems (e.g., QGIS).

In this role, you will develop a modern Python-based analytics system, optimize backend services using FastAPI, create interactive dashboards, and integrate various data sources into efficient data pipelines.

In this role, you will develop scalable data pipelines and ETL frameworks using cloud technologies to support our clients' cybersecurity solutions in real time.

In this role, you will develop powerful data integration tools for ClickHouse, manage efficient JDBC integrations, and optimize the processing of large datasets in real-time.

In this role, you develop advanced machine learning models for biomolecular designs, identify new targets, and promote the integration of AI into biomedical research.

In this role, you will support the development and maintenance of dashboards, visualize KPIs and business data for stakeholders, and optimize reporting logic and data preparation.

In this role, you assist the Automation Team in AI-driven concepts and prototypes for satellite production, develop scripts, and analyze data to optimize integration and testing processes.

In this role, you will develop AI and ML solutions, prepare data, optimize models, and ensure smooth operation of AI systems within the sales domain while closely collaborating with cross-functional teams.

In this role, you develop comprehensive data analyses for simulations and sensors in the Defense Metaverse, build analysis pipelines and dashboards, and present decision-relevant results to technical and military stakeholders.

In this role, you will develop advanced computer vision models for medical image analysis, monitor production models, and integrate ML pipelines into product workflows using modern tools and frameworks.

In this role, you will analyze clinical registry data, develop data storage and visualization solutions, and harmonize international data sources using Python, particularly pandas.

In this role, you support the development and optimization of time-series forecasting models for decentralized energy management systems and work on data transformation pipelines as well as monitoring and testing processes.

In this role, you will actively develop Python-based tools, automate electrical and electronic processes, and support CI/CD pipelines and data analysis to enhance the internal software toolchain.

In this role, you will enhance ML-based forecasting models, perform feature engineering, collaborate closely using Git, and deploy your analyses into production on AWS services.