Job Description

Job Description

GET TO KNOW THE AIRLINE DATA DEPARTMENT:

Airline Data Department (data business unit of Airasia), offers advanced data oriented solutions for Airline Operations spanning across all areas of Airlines Operations( Flight Operations, Crew Management, Aircraft Maintenance,Network planning Insights. Ground Operations, Inflight sales) and many more. The portfolio includes building world class Visualisation products having Visual Dashboards, 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.

WHAT YOU’LL CHAMPION:

• You will have experience in managing people with Data Science, Data Analytics, Optimization and Research and Data Engineering.

• Have experience in managing teams of 15-30 people.

• You will work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

• You will build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of AirAsia’s data structures and metrics, advocating for changes where needed for both product development and sales activity.

• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to products.

• Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

• Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.

• Research and develop analysis, forecasting, and optimization methods to improve the quality of AirAsia's user facing products; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.

• Develop solutions for real world, large scale problems

• Communicate solutions to stakeholders and drive improvements as needed.

WHO YOU ARE:

• Degree in degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).

• 9-12+ years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

• 5-8 years of experience managing teams of experienced professionals including other Senior Manager, Principal and Lead Data Scientist.

• Programming experience in one or more of the following: Python, GoLang, NodeJS, Scala.

• Experience with statistical software (e.g.Julia, MATLAB, pandas) and database languages (e.g., SQL, NoSQL, DataFlow, Spark).

• 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 with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language. An in depth knowledge of AI techniques, their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems.

• Experience with distributed computing platforms and open-source tools and libraries.

• Familiar or prone to adopt design thinking methods.

• Able to operate 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 Improve models and algorithms to further optimize business outcomes.

• Experience developing and deploying to the cloud.

• Ability to identify challenges. build relationships, and communicate across functions and geographies, and deliver successful solutions.

• Keep up with current technical and industry developments.

• Strong problem solving skills with an emphasis on business solution product development.

• Ability to lead and mentor multiple teams of data scientists and execute on multiple complex projects.

• Strong project management and organizational skills.

Job Requirements