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About the Role

SWDA is the National Skills Authority driving the SkillsFuture movement to promote lifelong learning and skills development. The National Jobs-Skills Data Office focuses on data and algorithms innovation, product management, and data operations to provide jobs-skills intelligence for government use. Join this team to empower stakeholders with user-centered insights and a common set of jobs-skills taxonomies for a skills-first future.

Responsibilities

Develop and deploy advanced analytical models using statistical and machine learning techniques for jobs, skills, and tasks data.
Design and build scalable data infrastructure with modular data pipelines and prototype advanced analytics solutions.
Translate complex data signals into strategic insights by collaborating with product and policy teams for workforce and industry planning.
Drive continuous analytical improvement by evaluating and enhancing methodologies and incorporating new data sources.
Lead analytical partnerships by scoping and supporting projects with internal and external partners.
Contribute to national jobs-skills data assets, including structured taxonomies and knowledge graph representations.
Champion research-backed innovation by staying current with emerging analytical techniques and tools.

Requirements

Background in data science, statistics, machine learning, or related quantitative disciplines.
Demonstrated experience applying analytical techniques to structured and unstructured datasets.
Proficiency in Python and SQL for data analysis, modeling, and data pipeline development.
Experience in machine learning model deployment or productionization.
Experience with unstructured data processing, particularly text or language data using NLP, language models, or text analytics.
Proven track record in developing, evaluating, and validating statistical or machine learning models.
Familiarity with data visualization tools and techniques.
Knowledge of labor market, workforce, or skills-related data and analytics.
Strong analytical mindset with the ability to break down complex problems.
Experience in translating business requirements into technical solutions.
Excellent communication abilities to explain analytical findings to non-technical stakeholders.
Self-driven contributor with strong ownership of analytical workstreams.
Proven ability to collaborate effectively across product, research, and policy teams.
Experience in managing multiple projects simultaneously.

Skills

Python
SQL
Statistical modeling
Machine learning
Graph models
Experiment design
Feature engineering
Model selection
Model validation
Natural Language Processing (NLP)
Language models
Text analytics
Data visualization

Location

Singapore

Work Type

Contract
Permanent

Experience Level

Mid-level

Education Level

Degree in data science, statistics, machine learning, or related quantitative disciplines

About the Company

SWDA is the National Skills Authority leading the SkillsFuture movement to promote lifelong learning and skills development.
The National Jobs-Skills Data Office is part of the Research & Analytics Division.
SWDA works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth.
SWDA offers initiatives, programs, and funding schemes to enable individuals to unlock their potential and acquire new competencies.