- Singapore
Full Time Data Scientist (AMK) Jobs, Salary up to SGD 7,500 in MAESTRO HUMAN RESOURCE PTE. LTD. - Maukerja
Data Scientist (AMK)
MAESTRO HUMAN RESOURCE PTE. LTD.
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Job Description
Responsibilities
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
About Us
We specialized in providing a full range of recruitment placement.
Our specialized recruitment service division include IT, Finance & Accounting, HR & Administration, Sales & Marketing, Logistics & Supply Chain.
Our parent company, Combuilder Pte Ltd, was incorporated since 1999. Our business include the large scale of software development for MRT projects & facility management for town councils. We also provide IT manpower outsourcing to multi-national companies and government sectors.
What We Provide
16C8462
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
About Us
We specialized in providing a full range of recruitment placement.
Our specialized recruitment service division include IT, Finance & Accounting, HR & Administration, Sales & Marketing, Logistics & Supply Chain.
Our parent company, Combuilder Pte Ltd, was incorporated since 1999. Our business include the large scale of software development for MRT projects & facility management for town councils. We also provide IT manpower outsourcing to multi-national companies and government sectors.
What We Provide
- Permanent Placement
- Contract Placement
- Temporary Placement
- Payroll Services
- Work Pass Application
- Focus on delivering the right people
- Affordable and cost-effective services
- Maintain long lasting relationship
- Talent Management
16C8462
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