Data Scientist

Data Scientist

Air Asia
Kuala Lumpur Malaysia
4-7 years
Not Specified

Job Description

Job Description
Are you ready to take off and be part of the Allstar employee Whether you’re applying for a developer, customer happiness or crew, at AirAsia we act as One AirAsia.
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.
Group Data comes under AirAsia Digital which is responsible for spearheading digital transformation across AirAsia. Group Data works on business and operations problems across all entities in the AirAsia Group. Key problems we solve include improving revenue and reducing costs through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, intelligent scheduling and optimization, and other advanced techniques. Group Data is also responsible for the data lakes across all our businesses, deriving insights and value from them and sharing them back with the businesses. In addition, Group Data also actively participates in innovation and training in the Redbeat Academy as well as collaboration with strategic partners like Google, GE, Airbus, and academia.
Here’s what an ordinary day looks like:

  • You will develop, train, and implement models that significantly impact the field of data analytics in areas such as supply chain optimization, demand forecasting, urban and digital farming, IOT systems, manufacturing optimization, location-based services, business strategy and more.

  • You will identify requirements, scope your research, develop prototypes, and deliver solutions that directly provide value to the business.

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.
Our companies include, BigPay, Teleport, BigLife, RedBeat Ventures, AirAsia Foundation, Tune Group of Hotels, TuneProtect, OURSHOP, FORM.AT, Airasia Ads
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 the best. We committed to creating a diverse work environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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