Data Scientist I

Job Description

Are you ready to take off and be part of the Allstar team? Whether you’re a developer, data scientist, or strategist, at AirAsia we act as One AirAsia to drive innovation in aviation. If you’re eager to make a difference at one of the world's most recognized low-cost airlines and work at the forefront of data-driven aviation, this is the role for you.

Duties and 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:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Operations Research, or a related field. A Master's degree is a plus.

• 0-2 years of experience in a data science role (internships count).

• Strong programming skills in Python and 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.