Lead Data Scientist

3 weeks ago

Kuala Lumpur, Malaysia AirAsia Full time

**Senior Data Scientist**

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.

The Data Science Centre of Excellence (CoE) comes under the Digital & Technology Group which is responsible for spearheading digital transformation across AirAsia. The CoE 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.

**Duties and Responsibilities**:_(specify day to day responsibilities)_**
- Improve models and algorithms to further optimize business outcomes.
- Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.

Requirements and Qualifications:

- BS/MS/PhD in Science (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, HCI).
- Up to 8 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.
- Experience developing and deploying to the cloud.
- 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 with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.

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.
- Create cost effective scalable systems and develop innovative algorithm solutions.

Operations Research
- Familiar with modelling problems as mathematical programming, constraint satisfaction, particle swarm optimization and other appropriate OR methodologies.
- Familiar with tools such as Cplex, Gurobi, Google OR-Tools.

Decision intelligence
- Drive decision science aspects as a standard user experience -staff or customer
- process (cognitive biases, cross-cultural reasoning, statistical interpretation, human factor impact, algorithmic bias etc.).
- Actively showcase the added value of design thinking, data-driven decisions, agile and user-centric methods.
- Support research (user and markets) and data processes for enhanced decision quality.

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.

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