XGBoost Jobs in Germany

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

In this role, you will develop models for customer analysis and accompany digital products from conception to implementation, while applying modern data science tools and contributing to business processes.

In this position, you will develop models to analyze customer behavior in the fashion & lifestyle sector, work with databases in SQL and Python, utilize cloud services, and accompany projects from concept to implementation.

In this position, you will develop innovative data models in the Fashion & Lifestyle sector, drive analyses forward, and optimize business processes with Data Science tools to enhance customer experience.

In this position, you will develop comparative models, conduct data analyses, and implement innovative Data Science tools in projects while collaborating closely with your team and internal partners.

In this role, you will develop analytical models in the Fashion & Lifestyle sector, drive business processes, and work on digital products to strengthen customer relationships sustainably.

In this role, you will design scalable AI automation frameworks and agentic workflows, translate complex business challenges into technical solutions, and collaborate closely with software engineering teams.

In this role, you will develop quantitative trading strategies and build predictive models for price forecasting and asset availability optimization, while collaborating closely with traders and communicating results effectively.

In this role, you develop powerful ML services to optimize lending processes, work on end-to-end implementation, and ensure model quality through monitoring and testing.

In this role, you will develop end-to-end machine learning solutions for time-series applications, validate models, and implement ML pipelines on cloud platforms.

In this role, you will manage customer projects throughout the lifecycle, analyze and visualize data, develop machine learning models, and ensure data quality through effective preparation and manipulation.

In this role, you will develop advanced machine learning models for delivery time predictions and optimize operational efficiencies while collaborating closely with cross-functional teams to implement data-driven solutions.

In this role, you support data projects from conception to implementation, analyzing and interpreting complex datasets while developing machine learning models to solve problems.

In this role, you develop data-driven solutions, implement ETL processes, create recommendation algorithms, and optimize machine learning models for client projects.