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Data Engineer / Scientist

Agency: Land Transport Authority
Job no.: LTA-ITCD-553543
Work type: Permanent/Contract
Location: Singapore
Categories:InfoComm, Technology, New Media Communications, Engineering

The Land Transport Authority (LTA) is a statutory board under Ministry of Transport that spearheads land transport developments in Singapore. We are seeking dynamic, energetic, highly motivated, passionate and qualified professionals to join us.

Many opportunities & challenges await those who are keen on an exciting career to realise our commitment to envision & implement an integrated transport system.

You will work in a team of land transport specialists, data scientists, solution architects as well as infrastructure and cybersecurity engineers to build, expand and maintain an island-wide network of engineering and commuter-centric IoT sensors and big data platform. You will work on ingesting and analysing real-time and batch data to sense make commuting patterns and operations anomalies for improving overall journey experience. You will play a significant role as part of the Smart Nation initiatives and Land Transport Masterplan to shape Singapore’s land transport system to 2040.
You will need to understand business requirements, support project implementation and perform ETL on large amounts of data. The ability to analyze data quickly and provide decision support to stakeholders is a key part of this job function. You will develop statistical or probabilistic models to derive actionable insights which also includes performing daily, weekly and monthly reporting tasks, e.g. for monitoring the quality and consistency of the analytical outcomes as part of the overall operations and maintenance of a big data ecosystem. You will also work on designing dashboards and compelling visualizations for decision-making and management reporting.

• Tertiary qualifications in Computer Science/Engineering, Mathematics, Statistics or other related technical fields
• At least 2 years of industry experience using common scripting languages (e.g. R, Python, SQL) and visualization tools (e.g. Tableau, Qliksense)
• Strong knowledge in data structures and mining algorithms including those in statistical learning, machine learning, probabilistic models and neural networks
• Good understanding and experience in the set up and maintenance of real-time big data infrastructures including ETL pipelines and hybrid cloud services involving on-premise system, network, storage and security solutions will be an advantage
• Proven ability in digital storytelling to effectively communicate key insights to stakeholders by harnessing data science tools, high impact visuals and convincing narratives
• Good problem-solving ability to ensure that application issues are being responded to and resolved proactively
• Able to handle multiple tasks simultaneously

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