Data Analysis Engineer

at  Centre for Strategic Infocomm Technologies CSIT

CSIT develops digital products to advance the national security interests of Singapore. Our products are used to support a wide range of use-cases and we are looking for talented data analysis engineers to build mission-critical applications and products that identity analyse and make new discoveries.
Our team believes innovation is the key to overcome operational challenges. We constantly track the latest infocomm developments and assess the impact of these developments on our operations. We help users by being proactive data “SCOUTs” to find new opportunities (including finding new data sources) to help advance our missions.
We are on the constant lookout for new data insights and new applications amongst the large pool of existing or newly acquired data sources. We will co-create innovative and game-changing concepts and tradecrafts with other units from different domains to uncover new outcomes that derive strategic advantages. We will then engineer robust systems comprising a variety of web applications, data analytics, and big data platforms to enable users to work on these new opportunities more effectively.
As a Data Analysis Engineer, you will be part of an agile product team providing highly performant services for data examination and participating in new tradecrafts creation. You get a chance to work closely with different users to understand their complex business operations and other engineering teams to dabble with the latest technology stack in designing and developing highly advanced systems.

MINIMUM QUALIFICATIONS

• Degree in Computer Science, Software Engineering, Information Technology or related fields
• Proficient in at least one general purpose programming language such as Python, Java, Javascript or C/C++

• Work closely with industry partners to acquire new data sources
• Work with product stakeholders, and other software engineers to develop improvements that enhance existing product capabilities or provide new opportunities
• Conduct exploratory data analysis with the goal of discovering new information insights to support decisions and new opportunities for new data products
• Apply a variety of techniques and tools (e.g. protocol study, data analytics, visualization) to collate disparate information for discovering of new collateral information and patterns.
• Integrate, configure, implement new micro-service based POCs for quick experimentation and generation of new data products.
• Drive capability development projects to stay ahead of technological advances or to transition R&D efforts for operationalization.