Data Scientist

Job Description

As a Data Scientist at AirAsia, you won't just be crunching numbers; you’ll be building the engines that power Asia's leading travel and fintech platform. You will collaborate with cross-functional teams to solve complex problems in revenue management, personalized marketing, and operational efficiency. We are looking for someone who loves the "loss function" as much as the "user experience."

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Key Responsibilities

• Model Development: Design and deploy predictive models (classification, regression, and clustering) to optimize flight pricing, ancillary sales, and customer churn.
• Experimentation: Design and analyze A/B tests to validate product features and marketing campaigns, ensuring results are statistically sound.
• MLOps & Engineering: Collaborate with Data Engineers to productionalize models. You will help maintain the ML lifecycle, including versioning, monitoring model drift, and automating retraining loops.
• Insight Generation: Translate complex statistical findings into "Allstar-friendly" insights for stakeholders and executive leadership.
• Feature Engineering: Architect high-signal features from raw clickstream, booking, and aircraft sensor data.
• Technical Skills & Qualifications

Education:

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related quantitative field.

Other Requirements:

• Machine Learning: Strong foundation in supervised and unsupervised learning. Experience with frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Cloud Knowledge: Proficiency with Google Cloud Platform (GCP)—specifically BigQuery for data extraction and Vertex AI for model orchestration.
• MLOps: Familiarity with CI/CD pipelines, Git version control, and containerization (Docker/Kubernetes) to ensure models are scalable and reliable.
• Analytics: Expert-level SQL and Python. Experience with A/B testing methodologies (hypothesis testing, p-values, and confidence intervals).

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Bonus Points

• Experience with Large Language Models (LLMs) for feature augmentation or chatbots.