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Assistant Principal Data Scientist, DA STC, GTO

Date: 20-Jul-2021

Location: Singapore, SG

Company: ST Engineering Group

Assistant Principal Data Scientist – Research (Predictive Maintenance)



The Data Analytics Strategic Technology Centre (DA STC) is a Corporate R&D centre for Data Analytics & Artificial Intelligence that aims to develop key data analytics technologies to support ST Engineering’s global growth plans across all our business sectors


Job Description:

  • Join a team of researchers to explore and develop new or improved analytical techniques through both organic and collaborative R&D efforts
  • Develop POCs to demonstrate viability of DA/AI technologies for our different MRO businesses
  • Demonstrate research efficacy by publishing conference papers, journal articles and other means of asserting IP ownership
  • Work with our Group Engineering Centre and lines of businesses to translate research outcomes into commercially viable products or services



  • Master's or PhD in Science/Engineering/Mathematics with at least 3 to 5 years of working experience in data analytics
  • In-depth technical knowledge and experience in any of the following:
  1. Anomaly Detection
  2. Forecasting
  3. Computational Fluid Dynamics
  4. Digital Twins
  5. Computational Intelligence
  6. Operations Research
  7. Deep Learning
  8. Social & Cognitive Computing
  9. Knowledge Representation
  10. Agent-based Simulation
  11. Computer Vision
  12. Behavioural Modelling
  13. Interpretable/Explainable AI
  • Good experience with end-to-end analytics process – ideation/value elicitation, requirements definition, data profiling, analytical modelling, testing, validation, visualization, and solutioning
  • Strong problem solving skills and passion for artificial intelligence and data science research
  • Experienced in SQL (any flavour), Python, R, Matlab, Java, C++/ C
  • Experienced in preparing research papers using standard document preparation tools such as Microsoft Word or Latex
  • Familiar with distributed computing, modelling & simulation, optimization, and visualization tools
  • Excellent coordination and time management skills to handle complex projects
  • Willing and enthusiastic about continuous learning