Data Scientist (AMK)

Job Summary The Data Scientist will design and implement advanced analytics and data integration solutions, supporting predictive modeling, forecasting, and optimization projects within regulated and public-sector environments. Responsibilities

• Design, develop, and implement data integration and advanced analytics solutions using structured and unstructured data to support mission-critical initiatives

• Manage end-to-end analytics project lifecycles, including requirement gathering, data scoping, modeling, deployment, and monitoring

• Lead or facilitate workshops with business and technical stakeholders to translate business needs into analytical, data, and success metric specifications

• Facilitate project meetings and workshops with client stakeholders to ensure alignment and progress

• Propose, implement, and validate data science models meeting functional and non-functional requirements such as explainability, fairness, scalability, security, integration, and operational cost efficiency

• Participate in software development lifecycle activities, including documentation of requirements and code, adhering to best practices

• Produce high-quality, client-ready deliverables and documentation with actionable insights

• Independently drive assigned modules or workstreams with minimal supervision in a fast-paced environment

• Prepare user requirements, data development artifacts, and technical documentation compliant with governance and audit standards

• Research client business contexts, industry trends, and public sector ecosystems to maintain relevant expertise

• Develop reusable project assets such as templates, analytical frameworks, processes, reports, and presentation materials

Required competencies and certifications

• Bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, Business Analytics, or equivalent

• Minimum 2 years of experience in data analytics and data science

• Proven skills in data processing, feature selection, hyper-parameter optimization, model validation, and visualization

• Proficient in AWS SageMaker and Python libraries such as Pandas, NumPy/SciPy, Scikit-Learn, XGBoost, and pyspark

• Strong SQL skills with experience handling relational data models and large datasets

• Experience in production software engineering practices including test-driven development, Git version control, code reviews, and CI/CD pipelines

• Familiarity with object-oriented programming concepts applied to data science pipelines

• Excellent communication skills in written and spoken English

Preferred competencies and qualifications

• Experience with Agentic AI/Generative AI solutions, including Large Language Models (LLM), Retrieval-Augmented Generation, knowledge assistants, document intelligence, and conversational analytics

• Hands-on experience in data engineering tasks such as data ingestion, transformation, pipeline development, and working with data platforms or warehouses

• Demonstrated ability to engage business stakeholders and lead analytics requirement workshops to translate complex problems into actionable data solutions

• Prior experience supporting government or public-sector projects (e.g., MINDEF or related agencies)

• Candidates holding or eligible for MSD Security Clearance (CAT 1) preferred

5 day week @ AMK area

maestro HR damien lee tian hong R1106726 16C8462