Cyber Security Data Analytics Expert

Job Description

Organization: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 223543
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Master's Degree
Travel Required: 10%

Division Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.

We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.

Job Description:

Cyber Security Data Analytics Expert – Security for Industrial Digitalization in the 21st Century
Join our Cyber Security Research and Consulting group located in Princeton, NJ, and engineer security solutions and generate research results for security based on Data Analytics methods for our internal customers. In this role, you will work closely with a team of expert Data Scientists, Data Analytics Experts, and Cyber Security Experts in the role of security domain expert to search for and develop new and better methods to detect and protect against attacks based on data analytics methods. You will have the opportunity to work with industrial applications and Siemens products and solutions, in domains such as control systems used in energy utilities that are part of the nation’s critical infrastructure, smart factories, building automation systems, intelligent transportation systems, and innovative new products and solutions developed by Siemens. Our close contact to different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications.
What will be my responsibilities?
  • Your job will be to contribute to development projects and research projects as an individual contributor or (sub-)project lead, that focus on using data analytics methods and approaches to create new and improved security features for Siemens products, solutions, and services, as well as internal services.
  • Your role in multi-disciplinary teams, that bring together experts from the data analytics and cyber security domains, will be that of a cyber security expert, bringing to the table your understanding of cyber security, both on the reactive/detection as well as on the protective/preventive side.
  • You will assess known, state-of-the-art security analytics approaches and products to determine where existing technology best solves a customer’s problems, and develop solutions and services based on and/or integrating best-in-class solutions and products.
  • You will contribute to research projects (including Government funded projects) that explore, innovate on, and develop new security analytics approaches and methods, or extend known approaches to new realms of the Siemens business scope.
What do I need to qualify for this position?
  • M.Sc. in Computer Science, Information Security, Mathematics, or other relevant field is required. PhD preferred
  • 2-3 years of relevant experience in Cyber Security and data analytics is required, this will include relevant internships / PhD research projects
  • Excellent up-to-date technical and hands-on knowledge & experience in current attack methods and approaches to detect attacks; expertise in industrial security / OT security preferred
  • Excellent up-to-date technical and hands-on knowledge & experience in standard data analytics methods (e.g., machine learning, neural networks, clustering, etc) is required
  • Proficiency in a scripting language like Python, PowerShell, LUA, or Bash.
  • Problem solver who sees a roadblock and figures out how to get around it with a strong hands-on and can-do attitude.
  • Willingness to travel, up to 10% (domestic/international)
  • Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on


Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

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