Data Scientist, National Jobs-Skills Data Office (Rad)

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As the National Skills Authority, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market. The National Jobs-Skills Data Office, under the Skills Intelligence and Planning Division, serves three core functions: · Data and Algorithms Innovation and R&D: Undertake development of new data models and algorithms to serve whole of government’s jobs-skills intelligence needs; · Jobs-Skills Product Management, Development and Delivery: Manage and enhance jobs-skills products, which includes UX/UI design and end-to-end product life cycle management; · Data Management and Operations: Centrally manage data quality, data models and data infrastructure to support internal and external users Come join this game-changing team in SSG, where we empower employers, citizens, training providers, and policymakers to make informed decisions by using a user-centered approach, providing trusted source of jobs-skills data and insights, and a common set of jobs-skills taxonomies for a skills-first future! As a Data Scientist, you will be a key member of the Data and Algorithms Innovation and R&D team, transforming complex data into meaningful insights that drive strategic decisions, building statistical, machine learning and graph models to solve real-world problems, designing experiments to measure impact and communicating findings clearly to both technical and non-technical stakeholders. By combining analytical thinking, programming skills and policy understanding, you will help uncover opportunities, solve real-world problems and guide data-informed decision-making across SSG. · Develop and deploy advanced analytical models to extract deeper insights from jobs, skills, and tasks data, applying statistical and machine learning techniques including feature engineering, model selection, and validation using appropriate performance metrics · Design and build scalable data infrastructure by creating modular, reusable data pipelines and prototyping advanced analytics solutions that operationalize insights to support evolving stakeholder needs across various partnership levels · Translate complex data signals into strategic insights through close collaboration with product and policy teams, ensuring analytical outputs meaningfully inform workforce and industry planning decisions that align with national skills development objectives · Drive continuous analytical improvement by evaluating and enhancing existingmethodologies, incorporating new data sources, external datasets, and robust model validation frameworks to strengthen the analytical foundation · Lead analytical partnerships and collaborations by scoping and supporting projects with internal divisions and external partners, translating stakeholder requirements into well-defined data science problem statements and delivering comprehensive analytical solutions · Contribute to national jobs-skills data assets including the development of structured taxonomies, entity extraction pipelines, and knowledge graph representations that support Singapore's skills intelligence ecosystem · Champion research-backed innovation by staying current with emerging analytical techniques, tools, and methodologies, ensuring SIPD maintains cutting-edge capabilities in workforce analytics and skills intelligence Requirements Experience: Background in data science, statistics, machine learning, or related quantitative disciplines with demonstrated experience applying analytical techniques to both structured and unstructured datasets Proficiency in Python and SQL for data analysis, modeling, and data pipeline development, with experience in machine learning model deployment or productionization Experience with unstructured data processing, particularly text or language data using natural language processing, language models, or text analytics techniques Proven track record in developing, evaluating, and validating statistical or…