691 data-scientist English-speaking jobs in Munich

People Ops & Automation: You keep our HR backbone running (e.g. contracts, Personio data, policies) and

FSCM (preferred), Treasury (optional)•    Strong understanding of S/4HANA architecture and finance data

Experience with Veeva CRM, Salesforce effectiveness tools, data analytics, and digital promotion.

activity within CRM systems (e.g., HubSpot).Drive disciplined opportunity management using a value-based, data-driven

managers run their construction sites on Capmo every day — which means our customers trust us with data

operating models, and measurable outcomes for your teamsActively partner with Product, Design, and Data

documentation and integrity in activity reporting Use KPIs, CRM insights, field analytics and account-level data

the whole stack Serverless: AWS Lambda with the Serverless Framework for high-throughput endpoints Data

end-to-end supply chain processes. 4 years + Supply Chain Experience Ability to analyse and interpret data

You choose the method a problem deserves - surrogate and reduced-order models, physics-informed and data-driven

specialize in providing German quality to users worldwide, focusing on the stability and security of our data

·       Understanding of procurement data, analytics, supplier performance management, and procurement

deliver high-quality content that drives engagement and extends the reach of community initiatives Use data

customers understand what's being built and why.Run tight, agile delivery day-to-day with development and data

security questions.What makes this different from most security leadership roles: we don't only protect data

You will manage our website's technical optimization, including implementing structured data, to ensure

to the right team:Flutter or mobile development experienceData engineering fundamentals (BigQuery, data

If you would like more information about how your data is processed, please contact us.

Methodolical SkillsConfidence working with Engineering on feasibility, technical trade-offs, systems, data

Technical fluency: able to articulate complex SaaS implementation, integration, and data concepts to