Lead Data Scientist
Company Name:-
AirAsia
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Job Description
Are you ready to take off and be part of the Allstar employee? Whether youre 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.
Mastering collaboration solutions for airline operations, Airline Data Department, a data business unit of Airasia, offers advanced data solutions for Flight Operations, Aircraft Maintenance and Data Infrastructure.
The portfolio includes ML models, optimization solutions, data pipelines, professional apps, cloud infrastructures and associated services.
We are proud to be one of the innovative teams of Airasia, the best budget airline provider in the world, scheduling domestic and international flights to more than 165 destinations spanning 25 countries.
In doing so, we make a significant contribution to transform our airline into a tech-driven company.
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.
Research and devise innovative statistical/big data models for data analysis to benefit the whole team.
Take initiative in technical challenging projects
Keep up with current technical and industry developments.
Requirements and Qualifications:
BS/MS/PhD in Science (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, HCI).
Up to 12 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
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