JobCubby JobCubby
Sign up
AirAsia Aviation Management Services Sdn. Bhd.

Data Scientist

AirAsia Aviation Management Services Sdn. Bhd. Sepang, Selangor, Malaysia

Airlines and Aviation · 10,001+ employees

23 h ago
data-scientist Mid (2-5 yrs) Other Malaysia
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

The Data Scientist will design and deploy predictive models to optimize pricing, sales, and customer churn while collaborating with cross-functional teams. They will also manage the ML lifecycle, including MLOps, experimentation, and translating statistical findings into actionable business insights.

What they look for

Data Science Machine Learning Python SQL Scikit-learn TensorFlow PyTorch Google Cloud Platform BigQuery Vertex AI MLOps Docker Kubernetes A/B Testing Predictive Modeling Feature Engineering

Requirements

Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess strong foundations in machine learning and statistical analysis. Proficiency in Python, SQL, and cloud platforms like GCP is required, along with experience in MLOps and containerization technologies.

Full description

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."

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).

Bonus Points

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

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.

Similar roles