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.
