Senior Sales Engineer/Data Scientist

Location DE-Darmstadt


As an established software technology vendor, InterSystems Corporation is committed to making its customers successful by providing a robust and scalable IRIS Data Platform serving business-critical applications in healthcare, finance, and other industries. Next to persistence and interoperability capabilities, the InterSystems IRIS Data Platform also serves as an Open Analytics Platform, which supports a broad variety of analytical use cases through embedded technologies, industry standard support and dedicated connectors for best-of-breed analytical tools from third parties that complement the platform.  For more information:


InterSystems is looking for a Senior Sales Engineer with extensive data science experience to lead its customers to success in this broad and complex domain, advising them on how to use InterSystems’ product capabilities effectively as well as recommend appropriate complementary third-party tools to implement their analytical use case. Based on a thorough knowledge of this fast-moving market, the Senior Sales Engineer acts as a trusted advisor for customers both before and after a software purchase. Furthermore, he/she works with the InterSystems data platform group by providing market, customer and competitive intelligence as well as contributing to the product strategy and roadmap.


  • Build trusted relationships with customers in Europe, advising them on setting up analytics project & practices that involve InterSystems IRIS Data Platform and other products as well as third-party technology
  • Drive European requirements and architecture for analytics capabilities within InterSystems’ solutions, working with the respective product management teams
  • Act as an internal SME for analytics technology and practices, developing a broad understanding of the domain in sales, marketing, and product teams
  • Establish technical credibility internally and externally


  • 10+ years of experience developing solutions for data management, integration, processing, and analytics.
  • Experience with data mining and machine learning frameworks
  • Proven business analysis and problem-solving skills honed over many years as an application developer
  • Demonstrable fluency and experience in many of the following: Java, C++, .NET, JavaScript, JSON, XML-related technologies (e.g., XSLT, XPATH), web services (SOAP, REST)
  • Extensive knowledge of the broader analytics market and eagerness to stay on top of all new developments in this market
  • Hands-on experience with market-leading tools and frameworks from multiple vendors and/or open source.
  • Understanding of advanced analytical algorithms and ability to engage directly with data science experts, as well as summarize complex algorithms to business users
  • Experience in architecting and deploying complex analytical systems
  • Experience with setting up analytics practices (BI, data science, …) within an organisation
  • Proven and deep understanding of at least one industry vertical
  • Fluency in both German and English language
  • Ability to travel within Europe 2-3 days/week (50%)

Education and Training

University degree in Mathematics, Artificial Intelligence, Computer Science, or related technical discipline. 

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