Pandas jobs in Germany

In this role, you design data extraction jobs, build AI pipelines for document parsing, and store results in structured data models while ensuring data quality through validation checks.

• Python
• Docker
• SQL
• AWS
• Polars
• Pandas
• +2

In this role, you will develop innovative data solutions, analyze IIoT sensor data, and implement ML models into production environments while closely collaborating with engineers and product managers.

• Pandas
• Python
• Git
• SQL
• Pyspark
• AWS
• Polars
• +2
• +3

In this role, you develop advanced machine learning models to predict churn and customer lifetime value, analyze data patterns, and present decision frameworks to management to support strategic initiatives.

• SQL
• Python
• Cursor
• scikit-learn
• Pandas
• XGBoost
• +2

In this role, you will develop innovative Generative AI solutions using Large Language Models while managing projects in Google Cloud, establishing standards and implementing security measures.

• Google Cloud Platform
• Python
• Pandas
• NumPy
• HuggingFace
• PyTorch
• Transformers
• +3
• +4

In this role, you will develop robust, decentralized data architectures and ETL pipelines for stakeholders to meet complex data requirements while leveraging agile working methods.

• Python
• Go
• Django
• Java
• PostgreSQL
• FastAPI
• Ansible
• Graylog
• Terraform
• Airflow
• +19
• +20

In this role, you analyze complex market data in commodities, develop interactive visualizations using BI tools, and support decision-making processes with data-driven recommendations.

• SQL
• Qlik
• Power BI
• Tableau
• Python
• Plotly
• Azure
• matplotlib
• Pandas
• Seaborn
• +13
• +14

In this role, you will develop automated solutions for ingesting various data types into the infrastructure, analyze data to test hypotheses, and support the development of predictive models.

• scikit-learn
• matplotlib
• Seaborn
• Pandas
• Python
• Streamlit
• NumPy
• Plotly
• +4
• +5

In this role, you will develop modern data architectures on Google Cloud Platform, build efficient ETL/ELT processes, implement real-time data processing, and optimize BigQuery queries for various data sources.

• Pandas
• SQL
• Terraform
• Looker
• Power BI
• Vertex AI
• Python
• Pyspark
• Dataform
• +8
• +9

In this position, you assist in analyzing operational data for energy generation, develop prototypes using Python and SQL, and test new methods for anomaly and error detection, as well as data visualization.

• Python
• SciPy
• NumPy
• SQL
• Pandas
• Git
• Power BI
• Azure DevOps
• scikit-learn
• +4
• +5

In this role, you lead the data science team, develop machine learning models, and mentor engineers and students while analyzing processes and data, implementing data collection concepts.

• Keras
• Pandas
• Python
• TensorFlow
• C
• RTOS
• Caffe
• PyTorch
• NumPy
• Cuda
• +7
• +8

In this role, you will own the reliability of our data infrastructure, design, implement, and maintain tailored integrations and scalable data pipelines using AI tools.

• Pandas
• Python
• Airflow
• Polars
• AWS S3
• Amazon EventBridge
• MLflow
• SQL
• Amazon SageMaker
• Claude
• +13
• +14

In this position, you develop methods for perceiving cyclists' behavior using deep learning, support measurement campaigns, and lead a motivated team in innovative research projects.

• Python
• TensorFlow
• OpenCV
• scikit-learn
• Pandas
• NumPy
• PyTorch
• +3
• +4

In this role, you will develop automated workflows and dashboards to enhance data processes in application engineering, structuring data, conducting analyses, and working on the digitalization of material development.

• NumPy
• Python
• Pandas
• SQL
• Power BI
• SciPy
• Microsoft Power Apps
• Tableau
• +3
• +4

In this role, you will develop ML models for anomaly detection in time series data from recycling facilities and implement scalable data pipelines on AWS using Python, SQL, and cloud services.

• Amazon S3
• PostgreSQL
• AWS
• Python
• Pandas
• Amazon EC2
• CloudWatch
• SQL
• Git
• NumPy
• +6
• +8

In this role, you develop machine learning models to analyze large datasets, identify trends, optimize processes, and closely collaborate with various departments.

• Python
• PyTorch
• SQL
• scikit-learn
• TensorFlow
• Pandas
• NumPy
• +3
• +4