Data Scientist I

Data Scientist - Revenue Management

If you are hungry to make a difference with one of the most well known low-cost airlines and to work in the dynamic technology hub, this is the job for you.

Mastering collaboration solutions for airline operations, Airline Data Department, a data business unit of Airasia, offers advanced data solutions for Flight Operations, Aircraft Maintenance and Data Infrastructure. The portfolio includes ML/AI models, optimization solutions, data pipelines, professional apps, cloud infrastructures and associated services. We are proud to be one of the innovation drivers of Airasia, the best budget airline provider in the world, scheduling domestic and international flights to more than 165 destinations spanning 25 countries. In doing so, we make a significant contribution to transform our airline into a tech-driven company.

Here’s what an ordinary day looks like:

- Build, monitor and enhance pricing and revenue management models across the airline business.
- Run analytical pricing strategy, generate rate and selling metrics to optimally position marketing strategies and sales campaigns.
- You will Improve models and algorithms to further optimize business outcomes & revenue.
- 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.

You got to have these to carry out the job:

- 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.

The job is ideal for you if you have:

- 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
- Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.
- Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience using Google Cloud Platform products and services.

Algorithm Engineering
- Strong ability to implement, improve, and deploy ML and Math models in Golang or Python.
- Conduct systems tests for security, performance, and availability.
- Develop and maintain the design and troubleshooting/error documentation.

What makes an Allstar employee? You allow yourself to ‘Dare to Dream’ big dreams and seize the day. You ‘Make things Happen’, you like taking efforts and achieve it. Without any effort, no dream will get fulfilled.

AirAsia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

**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.