Data scientist

Location: Kuala Lumpur Malaysia
Work Mode: Onsite

Employment type: Permanent

Our client is a leading digital travel and lifestyle platform in Asia connecting millions of users to a wide range of offerings. They are a prominent player in the travel industry recognized for their innovative approach and extensive network. The company operates with a significant global presence serving a vast customer base across numerous countries. They are committed to providing seamless and accessible travel experiences.

We are seeking an experienced Data Scientist / AI Engineer to drive the development and deployment of advanced machine learning solutions.

• Develop improve and deploy machine learning models and algorithms to optimize business processes and outcomes.
• Perform exploratory data analysis and validate hypotheses to inform model development.
• Build optimization predictive and statistical models to extract insights and estimate unknown outcomes.
• Design and implement SQL feature pipelines and manage deployed serving endpoints.
• Utilize cloud platforms particularly Google Cloud Platform (BigQuery Vertex AI) for model deployment and automation.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Apply statistical knowledge to business and finance-related use cases.
• Interpret and communicate model results using techniques such as SHAP partial dependence and residual diagnostics.
• Maintain code quality through version control code review and documentation practices.
• Work with productivity tools such as G Suite Git Jira and Confluence to ensure efficient project management and collaboration.
• Adapt to changing priorities and work effectively under pressure while balancing speed reliability and interpretability.

• Bachelors Masters or PhD degree in Business IT Mathematics Science Engineering or a related discipline.
• Up to 4 years of relevant experience beyond first degree.
• 25 years of experience building production machine learning systems beyond notebooks and Kaggle competitions.
• Strong Python programming skills.
• Hands-on experience with ML frameworks such as scikit-learn TensorFlow or PyTorch.
• Hands-on experience with Google Cloud Platform especially BigQuery and Vertex AI.
• Strong understanding of machine learning algorithms such as XGBoost LightGBM neural networks and decision trees.
• Good working knowledge of productivity tools such as G Suite Git Jira and Confluence.
• Experience in building optimization predictive and statistical models.
• Good applied statistical knowledge especially in business and finance-related use cases.
• Experience with SQL and NoSQL databases.
• Experience with SQL feature pipelines and deployed serving endpoints.
• Experience with Git-based workflows CI/CD practices and code review discipline.
• Understanding of forecasting and regression challenges including lag feature leakage target leakage in cross-validation high-cardinality categorical handling and trade-offs between MAE MAPE and RMSE.
• Ability to interpret models using methods such as SHAP partial dependence and residual diagnostics.
• Ability to work under pressure and adapt to change.
• Ability to balance speed reliability and interpretability.
• Ability to explain technical results clearly to non-technical stakeholders.

• Experience with deep learning for tabular and time-series problems such as TFT N-BEATS NeuralProphet TabPFN and Chronos.
• Experience with AutoML tools such as PyCaret for rapid baselining.
• Golang experience for performance-critical services.
• Experience with LLM-based or agentic tooling such as LangGraph MCP servers prompt engineering for structured outputs and evaluation harnesses for LLM systems.
• Familiarity with design thinking methods.
• Experience with open-source tools and libraries.
• Strong monitoring discipline including drift detection and model performance tracking in production.

• Join a dynamic and innovative team where your expertise will directly influence business outcomes and the adoption of AI-driven solutions.
• Work with cutting-edge technologies collaborate with talented professionals and contribute to impactful projects in a supportive and growth-oriented environment.

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