Senior Data Scientist

Systems Limited - APAC; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Systems Limited - APAC is seeking a Senior Data Scientist to lead end-to-end data science projects across multiple industries. You will translate business problems into analytics, deliver production ML solutions, and manage client relationships while guiding data science teams.

This role requires strong Python, ML framework experience, and expertise in delivering governance and scalable deployments. You will collaborate with Data Engineering, BI, Software Eng, and MLOps teams to operationalize

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, Mathematics or related field.
• Minimum 7 years of professional experience in Data Science, ML, AI, or Advanced Analytics.
• Strong Python with Pandas, NumPy, Scikit-learn.
• Strong SQL and database querying skills.
• Strong understanding of statistics, probability, ML, and optimization techniques.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or CatBoost.
• Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly.
• Experience with Git and collaborative software development practices.
• Experience leading enterprise DS projects and client-facing engagements.
• Strong analytical, presentation, communication, and stakeholder management skills.
• Experience mentoring technical teams and managing multiple projects.

Responsibilities

• Lead end-to-end Data Science engagements from problem definition through production deployment
• Translate business problems and requirements into analytical and ML solutions
• Conduct discovery workshops and gather business and technical requirements
• Perform exploratory data analysis, statistical analysis, feature engineering, model development, validation, and optimization
• Develop predictive, classification, regression, clustering, recommendation, forecasting, anomaly detection, and optimization models
• Present analytical findings, model insights, and recommendations to clients and senior stakeholders
• Collaborate with Data Engineering, BI, Software Engineering, and MLOps teams to operationalize Data Science solutions
• Ensure high standards of documentation, model governance, quality assurance, and Data Science best practices
• Manage multiple concurrent projects, including delivery timelines, risks, and client expectations
• Lead, mentor, and support junior and mid-level Data Scientists
• Conduct technical reviews and promote best practices across Data Science projects
• Support hiring, capability development, and knowledge-sharing initiatives
• Provide technical leadership and contribute to AI strategy and innovation

Skills

Python

SQL

Statistics

Machine Learning

Data Visualization

Git

Communication

Stakeholder management

Mentoring

Problem solving

Education

Bachelor's or Master's in CS/DS/AI/Statistics

Tools

TensorFlow

PyTorch

XGBoost

LightGBM

CatBoost

Power BI

Tableau

Matplotlib

Job description

The Senior Data Scientist is responsible for leading the design, development, and delivery of advanced analytics and machine learning solutions across multiple industries. The role involves translating business problems into data-driven solutions, leading end-to-end Data Science engagements, managing client and stakeholder relationships, and providing technical leadership to Data Science teams. The role also works closely with Data Engineering, BI, Software Engineering, and MLOps teams to operationalize machine learning solutions and ensure high standards of quality and governance.

Responsibilities

• Lead end-to-end Data Science engagements from problem definition through production deployment
• Translate business problems and requirements into analytical and machine learning solutions
• Conduct discovery workshops and gather business and technical requirements
• Perform exploratory data analysis, statistical analysis, feature engineering, model development, validation, and optimization
• Develop predictive, classification, regression, clustering, recommendation, forecasting, anomaly detection, and optimization models
• Present analytical findings, model insights, and recommendations to clients and senior stakeholders
• Collaborate with Data Engineering, BI, Software Engineering, and MLOps teams to operationalize Data Science solutions
• Ensure high standards of documentation, model governance, quality assurance, and Data Science best practices
• Manage multiple concurrent projects, including delivery timelines, risks, and client expectations
• Lead, mentor, and support junior and mid-level Data Scientists
• Conduct technical reviews and promote best practices across Data Science projects
• Support hiring, capability development, and knowledge-sharing initiatives
• Provide technical leadership and contribute to AI strategy and innovation

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field
• Minimum7 years of professional experiencein Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics
• Strong Python programming skills with hands‑on experience in Pandas, NumPy, and Scikit‑learn
• Strong SQL and database querying skills
• Strong understanding of statistics, probability, machine learning, and optimization techniques
• Hands‑on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, or CatBoost
• Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly
• Experience with Git and collaborative software development practices
• Experience leading enterprise Data Science projects and client‑facing engagements
• Strong analytical, presentation, communication, and stakeholder management skills
• Experience mentoring technical teams and managing multiple projects simultaneously
• Only Malaysian nationals or candidates holding a valid Malaysian work permit are eligible to apply