Senior Data Scientist (Operations Research)

JobCubby; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

AirAsia seeks a Senior Data Scientist (Operations Research) to join its Data Science Centre of Excellence in Kuala Lumpur. You will advance optimization models and collaborate across multi-disciplinary teams to deliver data-driven solutions that improve revenue, reduce costs and enhance decision making.

The role requires advanced degrees in statistics or analytics, hands-on experience with data science tools, Python and cloud deployment, and a strong foundation in statistical methods and machine

Qualifications

• Advanced degree in statistics, analytics, AI or related field.
• Experience with data science toolkits and SQL/NoSQL databases.
• Strong applied statistical knowledge for business/finance contexts.
• Experience deploying models to cloud environments.
• Familiarity with design thinking and rapid iteration.

Responsibilities

• Improve models and algorithms to optimize business outcomes.
• Collaborate with cross-functional teams to translate business needs into analytics solutions.

Skills

Data science toolkits

Programming languages

SQL/NoSQL databases

Distributed computing

Cloud deployment

Git/Jira/Confluence

Statistics

Education

BS/MS/PhD in Science (Statistics/AI/Analytics)

Tools

Cplex

Gurobi

Google OR-Tools

Python

Golang

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.