Job Description

WHAT YOU’LL CHAMPION:

• You will Improve models and algorithms to further optimize business outcomes.

• As a Data Scientist, you will work across the following areas:

  • Exploratory analysis: use data to suggest and prove hypotheses

  • Modeling: built optimization / predictive / statistical models to learn from data and estimate the unknowns.

  • Data operations: query data, deploy models and automate pipelines in cloud.

• Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.

• Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.

• Experience with distributed computing platforms and open-source tools and libraries.

• Familiar or prone to adopt design thinking methods.

• Able to work under pressure and change, and balance among speed, reliability, interpretability.

• Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.

• Experience with code versioning, code review and documentation.

WHO YOU ARE:

• BS/MS/PhD in a Business, IT, Mathematics, Science or Engineering discipline

• Up to 4 yrs relevant experience beyond first degree

• Experience in one or more of the following specialized areas:

Machine Learning

• 2–5 years building production ML systems - beyond notebooks and Kaggle competitions.

• Solid understanding of machine learning algorithms - XGBoost, LightGBM, neural networks, decision trees - with a clear grasp of why you tuned what you tuned.

• Strong Python and hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.

• Demonstrable understanding of forecasting and regression pitfalls - lag feature leakage, target leakage in cross-validation, high-cardinality categorical handling, and the trade-offs between MAE, MAPE, and RMSE.

• Ability to interpret models - SHAP, partial dependence, residual diagnostics - and explain results to non-technical stakeholders without dumbing them down.

• Hands-on Google Cloud Platform experience, particularly BigQuery (window functions, partitioning, cost-aware SQL) and Vertex AI (training jobs, model registry, endpoints, pipelines).

• Nice-to-have: deep learning for tabular and time-series problems (TFT, N-BEATS, NeuralProphet, TabPFN, Chronos); AutoML tooling such as PyCaret for rapid baselining.

Algorithm Engineering

• Strong ability to implement, improve, and deploy ML and mathematical models in Python

• Experience productionizing models end-to-end - from SQL feature pipelines to deployed serving endpoints - on GCP using Vertex AI and BigQuery.

• Conduct systems tests for security, performance, and availability of deployed models.

• Develop and maintain design documentation, error analysis runbooks, and troubleshooting guides

• Git-based workflows, CI/CD discipline, and code review hygiene

• Monitoring discipline - drift detection, data quality checks, model performance tracking in production.

• Nice-to-have: experience with LLM-based or agentic tooling (LangGraph, MCP servers, prompt engineering for structured outputs, eval harnesses for LLM systems).

WHAT YOU’LL ENJOY:

• Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.

• Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.

• Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.

• Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.

• A unique Allstar culture like no other

OUR HIRING PROCESS:

• Application received

• Candidate screening

• Interview(s) and assessment(s)

• Background check and/or other assessments

• Offer and negotiation

GET TO KNOW AIRASIA:

AirAsia has been the World's Best Low-Cost Airline for 14 consecutive years with over 800 million guests flown. We continue to champion dreams, serve the underserved and connect the world and Asean like no other so Now Everyone Can Fly.

GET TO KNOW US:

Our story begins in 2001 with a dream, two planes and a 40 million ringgit debt. You’ll know us as the ‘Now Everyone Can Fly’ airline (if you don’t, we’re definitely older than you).

Today, we’re more than just an airline. We’re Capital A - a world-class brand that wears many hats. Our mission is to connect people and transform lives in Asean.

Above all, we’re Allstars. We believe in the unbelievable and we dare to dream. We also believe in celebrating all individuals. So no matter your culture and background or if you prefer aisle seat to window seat, we’re excited to have you onboard.