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Data Scientist

Job Description

Siemens Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. More than 48,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. We stand with our customers around the world to support them in delivering high quality care to their patients. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. This is what truly matters to us.

At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably. A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services – as well as further technologies in the growing market for therapeutic and molecular diagnostics.

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape.


Data Analytics & Simulation Scientist

The Data Analytics Team within Siemens Healthineers is looking for data scientist to build solution in machine learning (ML) and deep learning (DL) technologies to help design and build innovative solutions and products for the SPECT/PET scanners by using Digital Twin.


Ability to manipulate and analyze large scale, high-dimensionality data from varying sources
• Experience in creating and maintaining knowledge graph data structures for SPECT & PET Scanners
• Experience in semantic consistency checking
• Ability and experience in data integration
• Experience in manipulating unstructured, semi-structured and fully structured datasets
• Capability to understand and model a domain in interactions with the partners
• Readiness to work in uncertainty regarding the resolution of a problem, the existence of means to resolve it and, sometimes, in the absence of precise objectives
• Autonomous and responsible; organized and structured in initiatives and work
• Detail-oriented and able to keep a global vision of the issues and their solutions
• Graph Analytics NLP, Machine Learning & Deep learning
• An open mind; desire to learn the most appropriate language/technology to solve a given problem

Use your skills to move the world forward
• You have Masters. in Computer Science or a related discipline from a reputed institute with grass-root experience of 3+ years in architecting data analytics and machine learning applications using knowledge graphs
• Experience in semantic web related specifications and tools
• Knowledge of knowledge graph consistency and coherency checking
• RDF, RDFS (preferably also OWL)
• Querying & data manipulation in SPARQL
• Programming skills (e.g. Python, Java, basic HTML…)
• Experience with ETL processes and tools (cleaning, conversion, …)
• Understanding of inference in RDF, RDFS and OWL (including profiles)
• Knowledge of property graph formalism (e.g. Neo4j, Gremlin, Tinkerpop, …)
• Awareness of authoring ontologies using tool like Protégé (need not be an expert but should at least have that ability)
• Decent awareness of RDF stores like Blazegraph and/or GraphDB to go with corresponding SPARQL knowledge that is mentioned. 



Organization: Siemens Healthineers

Company: Siemens Healthcare Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

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