Data Scientist I
4 weeks ago
**WHAT YOU’LL CHAMPION**:
- Improve models and algorithms to further optimize business outcomes.
- Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.
- The Data Scientist role has work across the following four areas:
- Exploratory analysis: use data to suggest and prove hypotheses, run what-if analysis and provide insights for stakeholders.
- Modeling: built optimization / predictive / statistical models to learn from data and estimate the unknowns.
- Data operations: query data, deploy models and automate pipelines in cloud.
**WHO YOU ARE**:
- BS/MS/PhD in Science (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, HCI).
- Possess 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.
- Experience developing and deploying to the cloud.
- 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 with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.
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.
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.
**WHAT YOU’LL ENJOY**:
- Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities
- Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.
- Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.
- Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.
- A unique Allstar culture like no other
**GET TO KNOW US**:
Our story begins in 2001 with a dream, two planes and a 40 million ringgit debt. You’ll know us as the ‘Now Everyone Can Fly’ airline (if you don’t, we’re definitely older than you).
Today, we’re more than just an airline. We’re Capital A - a world-class brand that wears many hats. Our mission is to connect people and transform lives in Asean.
Above all, we’re Allstars. We believe in the unbelievable and we dare to dream. We also believe in celebrating all individuals. So no matter your culture and background or if you prefer aisle seat to window seat, we’re excited to have you onboard.
**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.
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