Job DescriptionData Scientist 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
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Data Scientist II
Job Description:


Job Description

Data Scientist 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. Group Data comes under AirAsia Digital which is responsible for spearheading digital transformation across AirAsia. Group Data 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. Group Data is also responsible for the data lakes across all our businesses, deriving insights and value from them and sharing them back with the businesses. In addition, Group Data also actively participates in innovation and training in the Redbeat Academy as well as collaboration with strategic partners like Google, GE, Airbus, and academia.

Duties and Responsibilities: (specify day to day responsibilities)

Develop, train, and implement models that significantly impact the field of data analytics in areas such as supply chain optimization, demand forecasting, urban and digital farming, IOT systems, manufacturing optimization, location-based services, business strategy and more. Identify requirements, scope your research, develop prototypes, and deliver solutions that directly provide value to the business.Working in operational team for the business continuity management

Requirements and Qualifications:

  • BS/MS/PhD in a Business, IT, Mathematics, Science or Engineering discipline Up to 4 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.

  • 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:

  • Machine Learning

  • Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees. Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Experience using Google Cloud Platform products and services.

  • Algorithm Engineering Strong ability to implement, improve, and deploy ML and Math models in Golang or Python.

  • Work with data engineering to develop and implement new analytical tools, data pipelines and improve our underlying data infrastructure.

  • Work with data science teams to visualize model outputs and present the results

  • Troubleshoot data-related issues and offer solutions to ensure seamless data workflows

  • Conduct systems tests for security, performance, and availability.

  • Develop and maintain the design and troubleshooting/error documentation.

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. Our companies include Airasia.com, BigPay, Teleport, BigLife, RedBeat Ventures, AirAsia Foundation, Tune Group of Hotels, TuneProtect, OURSHOP, FORM.AT, Airasia Ads 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.


We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.

Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.
Company Details
AirAsia
Kuala Lumpur International Airport
Malaysia, International 50250 International
mycareer.airasia.com/gb/en/search-results
169 Open Jobs Available
20 years ago, a dream took flight - shaping and forever changing the travel industry in Asia. The idea was simple - make flying affordable for everyone. Now, that dream has sparked half a billion more dreams and will continue to do so through new ex...
(Job and company information not to be copied, shared, scraped, or otherwise disseminated/distributed without explicit consent of JSfirm, LLC)
Job Info
Location
Sepang, Selangor, Malaysia
Type
Permanent
Company Details
AirAsia
Kuala Lumpur International Airport
Malaysia, International 50250 International
mycareer.airasia.com/gb/en/search-results
169 Open Jobs Available
20 years ago, a dream took flight - shaping and forever changing the travel industry in Asia. The idea was simple - make flying affordable for everyone. Now, that dream has sparked half a billion more dreams and will continue to do so through new ex...

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