Pandas Jobs in Germany

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.

In this role, you will develop a modern data lakehouse architecture using Microsoft Fabric and Databricks, transform data with SQL and Python, and maintain Power BI dashboards for informed analytics.

In this role, you develop Tableau dashboards, write SQL queries for data analysis, and assist in building ETL pipelines in Python using database technologies like MariaDB and MongoDB.

In this role, you analyze customer data, develop and validate machine learning models, and manage data pipelines to implement complex applications and transition them into production-ready services.

In this role, you will develop Tableau dashboards, write SQL queries for data analysis, and build ETL pipelines with Python to provide effective data solutions for project teams.

In this role, you guide learners through their training in data analytics and data science, answering questions, assisting with exercises, and evaluating final exams.

In this role, you will develop software applications, create test documentation, and conduct comprehensive error analyses, while collaborating closely in the team on innovative software solutions for real-time data analysis.

In this role, you will develop data-driven solutions for revenue optimization, work closely with stakeholders, and implement innovative approaches in practical projects to enhance system efficiency.

In this role, you will develop and maintain ETL data pipelines, optimize SQL and NoSQL databases, and ensure data quality through automated validation processes and testing.

In this role, you will develop, maintain, and optimize data pipelines using Python, Pandas, and Spark, integrate new data sources, and work systematically on modernizing existing solutions.

In this role, you will develop, maintain, and optimize data pipelines using Python, Pandas, and Spark, conduct testing sessions, modernize existing solutions, and collaborate closely with business units.

In this role, you will develop data pipelines and AI blueprints, assist in database maintenance, train machine learning models in Python, and analyze data for internal teams and clients.

In this role, you will administer the Linux infrastructure in the Data Science sector, set up CI/CD pipelines, and automate workflows for machine learning applications while collaborating closely with the team.

In this role, you will administer Linux infrastructures, utilize configuration management tools, and automate deployment pipelines for data science applications while collaborating closely with data scientists and developers.

In this role, you will develop data-driven solutions and oversee the entire data science process with an AI focus, including modeling, evaluation, and integration into products.