Principal Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

• 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.
• Knowledge of advanced statistical and Operations Research techniques and concepts and experience with applications development

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.