Data Scientist Jobs in Munich

In this role, you will develop data- and AI-driven applications, analyze large datasets, and apply modern methods to create innovative solutions in mobility projects.

You develop data-driven solutions for the pharma industry, analyze heterogeneous life science data, and assess AI applications in R&D processes to optimize innovative approaches.

In this role, you will develop database-driven solutions, optimize ETL processes, and be responsible for the efficient processing and storage of large data volumes within active data infrastructures.

In this role, you will develop advanced analytics and AI solutions, implement and operate these in cloud environments, and optimize existing data models within an interdisciplinary team.

In this role, you will develop machine learning models and data-driven solutions, overseeing the entire lifecycle on Google Cloud Platform, collaborating closely with departments to implement actionable insights.

You design and implement data pipelines for ingestion, ETL/ELT, and develop data models and storage solutions to ensure data quality and access for analytics and ML.

In this role, you analyze experimental datasets, develop simulation models to optimize coating processes, and lead interdisciplinary research projects aimed at enhancing eyewear lens properties.

In this role, you lead data science projects focused on business outcomes, develop data-driven solutions, and communicate results to clients while collaborating in an interdisciplinary team.

In this role, you will develop AI solutions and manage projects from ideation to implementation while collaborating with various teams and creating training sessions for staff on applying AI effectively.

In this role, you will develop advanced algorithms to optimize trading strategies, transition them from research to production, and oversee the entire data science project management process.

In this role, you will develop software solutions, work on data preparation and visualization projects, and apply deep learning techniques in practical applications.

In this role, you develop high-quality analytics and machine learning solutions, oversee their deployment in cloud environments, and closely collaborate with interdisciplinary teams to integrate AI strategies.

In this role, you will develop innovative solutions to optimize workflows, implement customized AI use cases, and present technical insights for decision-making in management.

In this role, you develop data-driven solutions on a Databricks platform, optimize data pipelines, and model data for marketing and customer analytics while ensuring quality and reliability.

You design ETL/ELT pipelines on Databricks or Snowflake, develop scalable data architectures in Azure/AWS, and create meaningful analyses with Power BI or Tableau to provide data-driven decision-making support.