The company offers various perks such as travel discounts, which include reduced rates for flights and access to e-coupon schemes. 

Comprehensive Benefits Package

The company invests in its employees through training programs, workshops, and skill development initiatives. 

Career Development Opportunities

The company is known for its innovative culture and encourages employees to bring creative ideas to the table. 

Dynamic Work Environment

AirAsia X

Now, that dream has sparked half a billion more dreams and will continue to do so through new experiences from Asean fast food and food deliveries to a network of gateways and getaways.
Source: <a href="https://www.capitala.com/mission_vision.html" target="_self">https://www.capitala.com/mission_vision.html</a>

Who We Are

Our Mission
Connecting People, Transforming Lives
People are at the heart of everything we do.
We exist to connect everyone with everything everywhere. In doing so, we serve the underserved, build communities and transform lives to unite Asean.

Our Vision
Uniting Asean and Beyond
A region rich in culture, diversity &amp; talent, we champion the idea of a region united by our shared heritage and aspirations.

Source: <a href="https://www.capitala.com/mission_vision.html" target="_self">https://www.capitala.com/mission_vision.html</a>

Our Values

Job DescriptionYOUR ROLE AS A:&nbsp;Data Scientist&nbsp;WHAT YOU’LL CHAMPION:<ul><li>You will Improve models and algorithms to further optimize business outcomes.</li><li>As a Data Scientist, you will work across the following areas:<ul><li>Exploratory analysis: use data to suggest and prove hypotheses</li><li>Modeling: built optimization / predictive / statistical models to learn from data and estimate the unknowns.</li></ul></li><li>Data operations: query data, deploy models and automate pipelines in cloud.</li><li>Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.</li><li>Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.</li><li>Experience with distributed computing platforms and open-source tools and libraries.</li><li>Familiar or prone to adopt design thinking methods.</li><li>Able to work under pressure and change, and balance among speed, reliability, interpretability.</li><li>Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.</li><li>Experience with code versioning, code review and documentation.</li></ul>WHO YOU ARE:<ul><li>Possesses BS/MS/PhD in IT, Mathematics, Science or Engineering discipline with 1 - 5 years relevant experience beyond first degree</li><li>Fresh graduates are encouraged to apply</li></ul>Experience in one or more of the following specialized areas:Machine Learning<ul><li>1–5 years building production ML systems — beyond notebooks and Kaggle competitions.</li><li>Solid understanding of machine learning algorithms — XGBoost, LightGBM, neural networks, decision trees — with a clear grasp of why you tuned what you tuned.</li><li>Strong Python and hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.</li><li>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.</li><li>Ability to interpret models — SHAP, partial dependence, residual diagnostics — and explain results to non-technical stakeholders without dumbing them down.</li><li>Hands-on Google Cloud Platform experience, particularly BigQuery (window functions, partitioning, cost-aware SQL) and Vertex AI (training jobs, model registry, endpoints, pipelines).</li><li>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.</li></ul>Algorithm Engineering<ul><li>Strong ability to implement, improve, and deploy ML and mathematical models in Python (Golang a plus for performance-critical services).</li><li>Experience productionizing models end-to-end — from SQL feature pipelines to deployed serving endpoints — on GCP using Vertex AI and BigQuery.</li><li>Conduct systems tests for security, performance, and availability of deployed models.</li><li>Develop and maintain design documentation, error analysis runbooks, and troubleshooting guides</li><li>Git-based workflows, CI/CD discipline, and code review hygiene</li><li>Monitoring discipline — drift detection, data quality checks, model performance tracking in production.</li><li>Nice-to-have: experience with LLM-based or agentic tooling (LangGraph, MCP servers, prompt engineering for structured outputs, eval harnesses for LLM systems).</li></ul> &nbsp;WHERE YOU’LL GO:Dispatcher to captain, ramp agent to data analyst, brand executive to CEO - these are some Dare To Dream stories of our Allstars.&nbsp;WHAT YOU’LL ENJOY:<ul><li>Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.</li><li>Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.&nbsp;</li><li>Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.</li><li>Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.&nbsp;</li><li>A unique Allstar culture like no other</li></ul> We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer. Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.

• Build, tune and deploy production ML: EDA, feature pipelines, SQL/NoSQL and cloud automation.
• Unique Allstars culture, free/discounted flights and wellness programmes.
• Own end-to-end ML on GCP (BigQuery, Vertex AI) and drive business impact!

• Membaiki, bina dan uji model; lakukan analisis eksploratori, kueri data, deploy dan automasi pipeline awan.
• Budaya Allstars unik dan inklusif; sokong perkembangan kerjaya.
• ML produksi (BigQuery &amp; Vertex AI); asah kemahiran dan maju kerjaya mohon!


 
Job DescriptionYOUR ROLE AS A:_Data Scientist_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 da...

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