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 #J-18808-Ljbffr