Senior Data Scientist (Operations Research)
Airasia Open · verified Oct 24, 2026 At a glance
Senior Data Science role at Airasia. Kuala Lumpur - RedQ · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Improve models and algorithms so business outcomes can be optimized further
- Work with teams across functions to understand changing business needs and build solutions around them
- For operations research work, model problems with mathematical programming, constraint methods or other suitable approaches
- Develop and deploy machine-learning or mathematical models in Golang or Python, when focused on algorithm engineering
- Test systems for security, speed and availability, and maintain design and troubleshooting documentation
What you bring
- A science degree at bachelor’s, master’s or doctoral level, such as statistics, AI or another listed field
- Relevant experience of up to eight years beyond your first degree
- Applied statistics skills covering business and finance distributions, testing, regression and modeling
- Experience with data science tools, programming, visualization, SQL or NoSQL databases, and distributed computing
- For operations research work, familiarity with mathematical optimization methods and tools such as CPLEX, Gurobi or Google OR-Tools
Who this fits
This role suits a senior data scientist who can improve models and algorithms for business problems. It offers specialized paths in operations research, algorithm engineering and decision intelligence; the relevant methods and tools depend on the path.
From the employer
Job Description
Senior Data Scientist (Operations Research)
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.
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:
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:
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.
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.
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.
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