Principal Data Scientist

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 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
- Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.
- Ability to identify challenges. build relationships, and communicate across functions and geographies, and deliver successful solutions
- Research and devise innovative statistical/big data models for data analysis
- Keep up with current technical and industry developments
- Strong problem solving skills with an emphasis on business solution product development.
- Ability to mentor junior data scientists.
- You are a thought leader and are responsible for delivering complex projects successfully
- Mentor and guide junior members and contribute to global department expertise, deliverables quality and skills development.
- Ability to transcribe strategic insights into actionable recommendations
- Work closely with stakeholders to identify opportunities leveraging data-driven solutions.

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 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.

**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.
- Research on algorithm improvements for higher performance, accuracy, and optimality

**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.

**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.
- Develop strategic action plans integrating human factors and data science to improve AI driven decisions and choice architecture (persuasive design)

**Qualifications**:

- BS/MS/PhD in a Mathematics, Science or Engineering disciplines
- Decision science speciality: BS/MS/PhD in science (statistics, management, cognitive/psychology, AI, analytics, marketing, design, HCI)
- More than 12 yrs relevant experience beyond first degree

**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.

**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.