Senior Data Scientist (Operations Research)
- Compensation
- Not disclosed
- Location
- Kuala Lumpur - RedQ
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Must have
- 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:
Full description
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