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Principal Data Scientist at ST ENGINEERING IHQ PTE. LTD.

Principal Data Scientist

ST ENGINEERING IHQ PTE. LTD. Singapore Permanent

Roles and Responsibilities

ST Engineering is an integrated Maintenance Repair and Overhaul (MRO) service provider. We offer solutions that optimise the life cycle of customer vehicle assets (air, land and sea), including maintenance to ensure equipment serviceability and smooth vehicle fleet operations.

The candidate shall be responsible for leading the group of Data Scientists, Data Analysts and Data Engineers in developing and deploying Machine Learning and Deep Learning models in the area of Predictive Maintenance (PdM) for various vehicular systems and related assets.

Job Description

Lead the team of Data Scientists & Engineers to:

  • understand business needs and to translate them into a PdM plan for developing and deploying the required solutions;

  • understand and cleanse recorded vehicle-related (air, land and sea vehicles) sensor time-series & defect report data and uploading them to database efficiently;

  • tap knowledge from vehicle domain experts and write SQL scripts to manage & query databases to extract & generate required data for analysis;

  • compare & assess various machine learning methods to generate insights, detect anomalies and predict remaining useful life of vehicle components and engines;

  • assess and select the best Data Science platform for collaborative PdM tasks;

  • implement the developed and tuned model(s), optimise their performance in Python/R, SQL and/or C#;

  • perform text mining of airframe MRO defect logs for benchmarking among airlines or within their fleet, predict schedule drivers for more accurate planning and project bidding for incoming aircraft for heavy checks; and

  • develop dashboards to show the results for internal & external customers.

Basic expertise in assessing the most cost effective solution architecture for big data pipelining, data warehousing and hybrid cloud computing, to tackle PdM challenges for multiple customers.

Tap internal and external funding for R&D effort and collaborate with IHLs and external vendors to acquire relevant expertise.

Presentation of insights & results during reviews with various key stakeholders; marketing to potential customers.


  • Degree in Data Science or Engineering or Computer Science;

  • Work experience in Data Science, Statistics, Python programming and SQL scripting for Engineering applications;

  • At least 1 year of experience in leading Data Science/Analysis/Engineering team(s); and

  • Ability to balance technical, leadership & managerial roles.


Recommended Skills

  • Big Data
  • Business Requirements
  • C Sharp (Programming Language)
  • Dashboard
  • Data Science
  • Data Warehousing
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