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Senior Data Scientist (f/m/d) Digital Twinning

Job ID
482140
Posted since
31-Oct-2025
Field of work
Research & Development
Company
Siemens Healthineers AG
Experience level
Experienced Professional
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Permanent
Location(s)
  • Erlangen - Bayern - Germany

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?


Then come and join our global team as Senior Data Scientist (f/m/d) Digital Twinning, to enable new data driven business opportunities and optimize service processes in Customer Service.

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.

Even more flexibility? Mobile working from abroad is possible for up to 30 days a year under certain conditions and in selected countries.


Your tasks and responsibilities:

  • ​​You enable predictive maintenance, performance optimization, and automation in service delivery for medical systems through digital system twins. 
  • You develop, integrate, and maintain digital twin models for medical systems in cross functional teams of data scientists, data engineers, architects, service-, and product-specialists. 
  • You continuously improve model quality through validation, monitoring of the real-world performance, and feedback from users.  
  • You maintain a network of business experts and subject matter experts to understand requirements and identify data-driven business opportunities. 
  • You drive and shape the data science, artificial intelligence and digital twinning innovation field in Customer Service.

To find out more about the specific business, have a look at Customer Services.  

Your qualifications and experience:

  • ​​You hold a university degree in mathematics, computer science, data science, physics, electrical engineering, engineering sciences, or similar fields of study. 
  • You can demonstrate many years of relevant professional experience in the area of data science, artificial intelligence, digital twinning, simulation and optimization. 
  • You have a strong background and hands-on experience in predictive maintenance, preferably in the field of medical devices as well as semantic modeling, contextualization, and graph technologies.
  • You are familiar with tools and technologies for ontology design and knowledge representation. 
  • You have extensive knowledge of using and extending analytical tools and systems, e.g. Python, Spark, Databricks, Snowflake, or similar data analytics workbenches. 
  • You are highly experienced in real-time IoT data processing, streaming, and cloud-based architectures. 
  • Experience with medical systems hardware will significantly contribute to your success in this position.

Your attributes and skills:

  • You work in an international environment and are therefore fluent in English; good German skills are highly desirable. 
  • You excel at communicating and translating complex technical concepts and challenges to diverse audiences including management, project managers, data scientists, and system architects - while maintaining clarity and direction when driving projects through challenging situations. 
  • You have an excellent understanding of customer requirements and can help fulfill them using innovative, data-supported approaches. 
  • With your ability to apply analytical rigor and statistical methods, you help to optimize service products and understand the behavior of customers. 
  • You have a collaborative mindset enabling you to work efficiently and passionately in cross-functional and international teams. 
  • You are able to guide and advise junior data scientists and take the technical lead in project teams.


Our global team:

Siemens Healthineers is a leading global medical technology company. 73,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. 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.


Our culture:

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success. Check our Careers Site at https://www.siemens-healthineers.com/de/careers

As an equal opportunity employer, we welcome applications from individuals with disabilities.#myabilityshs

Wish to find out more before applying? Contact us: recruitinggersupport.func@siemens-healthineers.com, if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Cornelia Listringhaus.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.


To all recruitment agencies:

Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.



Siemens Healthineers Germany was awarded the Great Place to Work® certificate.