Job Description

What the role is
Looking to make your next big jump more meaningful? Join us at the forefront of shaping healthier lives. The Health Promotion Board’s vision is to make Singapore a nation of healthier people. Come be a part of this journey if you’re passionate about creating boundary-pushing work that drives behavioural change.
What you will be working on
We are looking for dynamic and enthusiastic individuals, with strong ML engineering, business engagement and project delivery experience, to join us on this pioneering journey to shape and transform the way programmes are delivered to citizens. You will get to see the end-to-end development to deployment process of a population-based data science system, from pilot to testing, scaling and evaluation. You will get the opportunity to work with big data from diverse Organisation and partners’ data sources (e.g. food transaction data, sports attendance data, screening and sensor data) to facilitate data feature engineering and machine learning use cases pivotal to powering the data science engine. You will also have the opportunity to be involved in strategic collaborations with partners (e.g. public healthcare and data science institutions, academics and technology players) to bring in their data, programmes and data science expertise onto the platform to benefit citizens. Responsibilities Project manage and be the overall engagement lead to bring together the Organisation's vendors, partners, IT and business teams to plan, prioritize and drive processes that enable timely delivery of the data science system to support programme needs. Map and evolve the delivery strategy and solution with data science vendor and various business teams to align with shifting business needs and priorities. Collaborate with cross-functional internal business units and external stakeholders to translate business needs and requirements into technical and data science deliverables. Lead cross-functional teams across CDO, Programmes, Analytics etc to bring together disparate datasets to facilitate machine learning and data science use cases. Manage and work with internal teams to conduct user acceptance testing and validation of platform features and data science model outputs to support data science applications and personalisation. Lead updates to senior management on project progress and surface issues for collective deliberation and decision-making. Drive processes to bring in services and external expertise to deliver on data science solutions.
What we are looking for
- Bachelor/Masters degree in Computer Science, Business, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university. - Professional certifications in data science, ML engineering and business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable for the position. - Minimum 5 years of relevant project management and delivery experience. Experience in end-to-end deployment of machine learning and analytics projects in production environment is a strong plus. - Strong ML and data engineering skillset. - Broad knowledge of data science models and applications is a must. - Experience working with cloud-based analytics platforms and tools such as Hadoop and Spark Ecosystems to deploy and productionise ML solutions. - Adaptive, able to work in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environment. - Strong problem resolution and negotiation skills to manage and deliver complex projects involving multiple stakeholders. - Possess the maturity and interpersonal skills to build collaborative relationships and interface independently across a wide range of stakeholders with differing data handling and data science experiences. - Strategic and able to connect the dots and distil complex discussions into key focus areas to work on and able to communicate and express complex data/concepts in a clear and simple-to-understand manner. - Take an interest in digital health and healthcare.