Data Scientist Jobs in Leverkusen

In this role, you will design solutions in the AI and Data Science field, develop MLOps processes, prepare data, and implement models for our client projects, focusing on Python, SQL, and modern technologies like Azure and AWS.

In this role, you will develop data pipelines for integrating complex ERP data structures, build a Data Lake infrastructure on AWS, and implement resilient workflows for reliable data processing.

In this role, you analyze large datasets to identify critical business processes, define KPIs, create dashboards, and independently explore new data sources to enrich existing models.

In this role, you analyze data, develop and evaluate machine learning models to solve security-critical tasks, and closely collaborate with customers to successfully implement data-driven projects.

In this role, you will develop advanced machine learning models, analyze data sources, and advise clients on data-driven projects in security-critical environments.

In this role, you develop machine-learning models, analyze large datasets using Python and SQL, operationalize solutions, and advise clients on data-driven decisions.

In this role, you will develop innovative AI and Machine Learning solutions, particularly Generative Deep Learning models, and implement data-driven systems using Python tools in a cloud environment.

In this role, you will develop data-driven approaches to analyze heart rate variability and eye movements to assess the mental workload of remote operators in rail transport.

In this role, you will create target audience analyses, evaluate marketing-related data, assist in standardizing processes, and prepare data for reports and presentations.

In this role, you will develop data architectures and ETL processes, integrate large datasets from various sources, and ensure data quality. You will optimize data pipelines and collaborate closely with business units and Data Scientists.

In this role, you collaborate closely with the project manager and lead data scientist to develop automated data analysis pipelines, test algorithms, and create predictive models.

In this role, you will develop data-driven models to support decision-making, process large datasets, and build forecasting and machine learning models using Python or R.

In this role, you design processes for geo-data integration using the FME® platform, develop solutions, advise clients, and program interfaces using Python, SQL, or JavaScript.