Data Scientist (Advanced Analytics) — AMK

COMBUILDER PTE LTD; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

COMBUILDER PTE LTD in Singapore is seeking an experienced data analytics professional to develop advanced analytics solutions and ML models. You will manage end-to-end analytics lifecycles, collaborate with business users and technical teams, and deliver client-ready data artefacts in a fast-paced environment.

Requirements include a Master’s or Bachelor’s in a quantitative field and at least 2 years of hands-on Python, SQL and ML experience, with familiarity in Pandas, NumPy, Scikit-Learn and

Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Mathematics, Statistics, Business Analytics or equivalent.
• Minimum 2 years of experience in data analytics, data science or machine learning.
• Strong hands-on experience in Python, SQL, Machine Learning and Data Analytics.
• Experience in data processing, feature selection, hyperparameter optimization, model validation and visualization.

Responsibilities

• Develop advanced analytics and data science solutions using structured and unstructured data.
• Build and validate models for predictive modelling, forecasting, optimization, text mining and network analytics.
• Manage the analytics lifecycle from requirement gathering and data scoping to deployment and monitoring.
• Work with business users, technical teams and stakeholders to translate requirements into data solutions.
• Support analytics workshops, project meetings and client discussions.
• Prepare user requirements, technical documentation, data artefacts and client-ready deliverables.
• Apply software development best practices, including documentation, version control and testing.
• Contribute to reusable templates, analytical frameworks, reports and presentation materials.
• Drive assigned workstreams independently in a fast-paced project environment.

Skills

Python

SQL

Machine Learning

Data Analytics

Education

Bachelor’s or Master’s Degree in Computer Science, Mathematics, Statistics, Business Analytics or equivalent

Tools

Pandas

NumPy/SciPy

Scikit-Learn

XGBoost

PySpark

AWS SageMaker

Job description

Job Responsibilities:

• Develop advanced analytics and data science solutions using structured and unstructured data.
• Build and validate models for predictive modelling, forecasting, optimization, text mining and network analytics.
• Manage the analytics lifecycle from requirement gathering and data scoping to deployment and monitoring.
• Work with business users, technical teams and stakeholders to translate requirements into data solutions.
• Support analytics workshops, project meetings and client discussions.
• Prepare user requirements, technical documentation, data artefacts and client-ready deliverables.
• Apply software development best practices, including documentation, version control and testing.
• Contribute to reusable templates, analytical frameworks, reports and presentation materials.
• Drive assigned workstreams independently in a fast-paced project environment.

Job Requirements:

• Bachelor’s or Master’s Degree in Computer Science, Mathematics, Statistics, Business Analytics or equivalent.
• Minimum 2 years of experience in data analytics, data science or machine learning.
• Strong hands-on experience in Python, SQL, Machine Learning and Data Analytics.
• Experience in data processing, feature selection, hyperparameter optimization, model validation and visualization.
• Hands-on experience with Pandas, NumPy/SciPy, Scikit-Learn, XGBoost and PySpark.
• Experience with AWS SageMaker will be advantageous.
• Exposure to Generative AI, LLM, RAG, document intelligence or conversational analytics will be advantageous.
• Experience in data engineering, ETL, data pipelines or data warehouses will be advantageous.
• Familiar with Git, code reviews, CI/CD and test-driven development.
• Prior experience in Government, public-sector or defence-related projects will be highly advantageous.
• Candidates eligible for MSD Security Clearance CAT 1 will be strongly preferred.
• Good communication skills and able to work in a fast-paced agile environment.