Job description


  • Participate in R&D and deployment of the next generation data-driven solutions for Mobility, within a lean startup pathway and in collaboration of engineering & mobility experts, data engineers, software engineers, HMI designer and MLOps/DevOps.
  • Singapore Innovation project will be main target among all projects


Key accountabilities:

  • Define, develop, manage & sustain the data model, including machine learning, AI, NLP or simulation, such as:
  • Design technical solution for data-driven approach, including engineering and financial impacts
  • Build feature extraction model and programming
  • Build learning models, including unsupervised predictive models and simulation tool
  • Assess and enhance the data quality of incoming data and model responses
  • Apply Data management practices
  • Build report and explanatory materials to share with engineering experts
  • Evaluate the opportunities from new mathematical and machine learning technologies
  • Apply a strong testing and quality assurance practices

Performance measurements:

  • OTD
  • Developments QCD



  • Engineering or master’s degree supplemented by extensive training in data mining and/or machine learning


  • PhD in the fields of statistics or machine learning or applied mathematics


  • Knowledge of the following language: Python or/and R
  • Knowledge of fundamentals of modern statistics, including time series and signal processing, text mining or image processing
  • Knowledge of Artificial Intelligence & Machine Learning algorithms (neural network, deep learning etc…)
  • Experience with database management (SQL, ElasticSearch, etc.)
  • Experience with LINUX environment (shell scripting)


  • Experience with PHM or Predictive Maintenance
  • Experience in Traffic modelling
  • Experience in NLP
  • Experience in Video analytics
  • Experience in Sequence mining
  • Experience in log analytics
  • Experience with git and release management

Competencies & Skills

  • Proven track record for designing stable solution, testing and debugging.
  • Demonstrated teamwork and collaboration in a professional setting
  • Proven capabilities with worldwide teams
  • Fluent English.

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