Data Scientist II
AirAsia
- Sepang, Selangor
- Permanent
- Full-time
- BS/MS/PhD in a Business, IT, Mathematics, Science or Engineering discipline Up to 4 yrs relevant experience beyond first degree
- 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.
- 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.
- 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 Airasia.com, 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.