Senior Data Scientist (Operations Research)

Posted 15 Days Ago
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Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
In-Office
Senior level
Aerospace • Transportation • Travel
The Role
Develop and optimize data science, machine learning, and operations research models to improve business outcomes. Collaborate with multidisciplinary teams to address revenue, cost, scheduling, and operational challenges. Build and deploy scalable cloud-based algorithms, conduct system testing, document solutions, and apply statistical modeling, mathematical programming, decision intelligence, and user-centered design methods.
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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.

Skills Required

  • BS, MS, or PhD in Science, Statistics, Management, Cognitive Psychology, AI, Analytics, Marketing, Design, or HCI
  • Relevant experience beyond a first degree, up to 8 years
  • Experience with data science toolkits, programming languages, visualization tools, and SQL or NoSQL databases
  • Applied statistical knowledge, including statistical testing, modeling, regression analysis, and business or finance distributions
  • Experience with distributed computing platforms and open-source tools or libraries
  • Experience developing and deploying solutions to the cloud
  • Experience with code versioning, code review, and documentation
  • Experience in operations research, algorithm engineering, or decision intelligence
  • Operations research experience with mathematical programming, constraint satisfaction, particle swarm optimization, or related methodologies
  • Experience with CPLEX, GuroBI, or Google OR-Tools
  • Ability to implement, improve, and deploy machine learning and mathematical models in Golang or Python
  • Familiarity with design thinking, agile, and user-centric methods
  • Working knowledge of G Suite, Git, Jira, and Confluence
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The Company
HQ: Sepang, Selangor Darul Ehsan
13,132 Employees
Year Founded: 2001

What We Do

It all starts here. 23 years ago, a dream took flight - shaping and forever changing the travel industry in Asia. The idea was simple: Make flying affordable for everyone. We made that dream happen. We started an airline in 2001. Today, we’ve evolved to become something much bigger. We’re now a world-class brand, a leading Asean airline, a digital travel and lifestyle platform; and we’re not stopping. If you’re passionate about connecting people and transforming lives, we want you onboard. When it comes to your career, your Allstar journey will be an adventure. Find your dream career destination with us

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