3643 data-scientist English-speaking jobs in Germany

tools, from prioritisation and delivery to continuous improvement, working closely with engineering, data ... accelerate research, documentation, and prototyping Strong analytical mindset with a passion for using data ... performance targets, translating operational needs into clear functional specifications and defining KPIs for data-led

financial analysis and insight to executive management and shareholders Strengthen reporting quality, data

Provide transparent, data-based recommendations for reducing E5 consumption and improving the overall

Creation and maintenance of throughput and schedule plans Preparation and maintenance of weekly status data

Drive evidence generation through Medical Affairs studies, data analysis, publications and scientific

We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace

We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace

What You'll Be Doing: Work closely with development, data and QA teams to design, implement, manage

improvements in delivery, lead time and cost Strong strategic mindset combined with hands‐on execution Data‐driven

marketing activities in the respective application area (e.g. creation of website content, publications, data

implemented based on Angular, while the backend is implemented in Java and the Spring Framework, with data

Strong analytical skills with a detail-oriented mindset and the ability to interpret complex financial data

Work closely with optimizers, designers, developers, and data analysts to understand project requirements

Collaborate with AI research teams to refine training data and improve model outputs.

Provide clear, structured feedback to AI research teams to improve training data quality and downstream

stakeholders.Oversee contractual compliance, budgets, and operational reporting.Analyze asset performance data

Analyze and apply structured reasoning to quantitative methods and data analysis.

Collaborate with AI research teams to refine training data and improve model outputs.

Apply quantitative methods and data analysis to solve interdisciplinary challenges.

Provide clear, structured feedback to AI research teams to improve training data quality and downstream