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Data Scientist

2 months ago

Singapur, Singapore Careers@Gov Full time

Careers@Gov is seeking a talented Data Scientist to join our team. As a Data Scientist, you will play a key role in developing predictive algorithms and prognostics for decision support in areas of predictive maintenance of railway and digital asset management. You will work closely with teams from different disciplines within LTA, rail operators, system manufacturers on the data and interfaces of rail assets, as well as set out/explain rail asset management business use cases using data. Your responsibilities will include machine learning, mathematical/statistical analysis, coding, data ingestion/engineering, and system engineering to meet asset management and maintenance outcomes over the lifecycle of the assets. You will also review technical submissions and participate in the testing and commissioning of the predictive/analytical decision support systems. For senior positions, you will provide technical leadership to the team in matters of statistics, data science, MLOps, and data engineering. Leading and mentoring junior data scientists/analysts in the team will be one of your important contributions. The ideal candidate will have a tertiary qualification in Electrical, Electronics Engineering, Computer Science, Mechanical, Industrial Engineering, Sustainable Infrastructure Engineering, or equivalent. Strong writing, presentation, coding, communication, and interpersonal skills are essential. Team players with critical and logical thinking capability and the ability to work independently are also required. Experience in IT application, data analytics/machine learning, or system engineering/railway engineering using data will be an advantage. Those with relevant years of experience will be considered for senior positions. For senior positions, a solid understanding of statistical analysis and predictive modeling/machine learning, knowledge of data management, data engineering, and data visualization techniques, experience with implementing MLOps in an enterprise IT system, and the ability to lead and mentor junior data scientists/analysts are considered.