Principal Data Scientist (ML, AI, CI) (for Customer Intelligence & Artificial Intelligence Team)

Duties and Responsibilities:

• Use in-depth understanding, effective software implementations, and applications of Machine Learning (ML), Artificial Intelligence (AI), Customer Intelligence (CI), Algorithms, Data Structures, Optimizations, Computer Science, Computations, Statistics, etc. to solve different business use-cases and projects across different Lines of Businesses (LOBs) such as Ecommerce, online food purchase and delivery, hotel, flights, travel, ride-hailing, loyalty programs, FinTech, delivery and shipping services, online grocery shopping, SuperApp, and other existing & future LOBs.

• Constantly work with massive amounts of structured data and unstructured data from relational databases (e.g. SQL in BigQuery) and non-relational databases (e.g. Graph Query Language).

• Custom formulations, implementations, building & evaluating of different ML (Supervised, Semi-supervised, Weakly-supervised, Unsupervised, Deep, Reinforcement, etc.) models, Probabilistic and (Bayesian) Statistical models, Mathematical models, Algorithms, Optimizations, etc., using custom data collection & annotation methods, custom metrics, etc.

• Custom implementations of data structures & algorithms in Python, C and C++ (to deal with huge amounts of data & hard problems), being aware of space and time complexities and hardware.

• Implement research findings, perform R&D, etc. in code to solve business problems.

• Performance & memory optimizations of programs, algorithms, etc. using C, C++ & Python (Numba, Cython, Pythran) to solve large-scale problems dealing with massive amounts of data.

• Creating high-performance local APIs and SDKs of outputs to hand-over to Data Software Engineers for them to build data & software products & services by building upon these outputs.

• Work with Data Software Engineers to make use of different sources of huge amounts of data, and so that they can build and deploy data products and services around the project outputs.

• Regularly communicate well and present deliverables to business stakeholders, etc.

• Highly skilled & experienced Individual Contributor track.

Qualifications & Requirements:

• BS/MS/PhD in Data Science, ML, AI, Computer/Software Engineering, Mathematics, Computer Science, Statistics, Natural Language Processing, Computer/Machine Vision, or related fields.

• At least 10 years of relevant full-time experience in Individual Contribution.

• Must have strong capability, discipline and passion to carry out full Individual Contribution.

• Must be passionate & dedicated to do commercial projects dealing with many different types of data including Structured Data (e.g. from finance, business, customer transactions, etc.) as well as Unstructured Data (e.g. from text, audio, image and video, etc.).

• Must have excellent understanding and implementations of Machine Learning (Supervised, Semi-supervised, Weakly-supervised, Unsupervised, Deep, etc.), Data Structures (e.g. trees, graphs, chains, hash tables, arrays, queues, stacks, linked lists, etc.), Algorithms and Optimizations (e.g. Dynamic Programming, Graph & Tree Building & Traversals, Gradient Descent, Divide and Conquer, Backtracking, Greedy, Brute Force, Expectation Maximization, Search, etc.), Probability & (Bayesian) Statistics (e.g. Probabilistic Graphical Models,), Linear Algebra, SQL (e.g. in BigQuery), NoSQL (e.g. Cypher Query Language in Neo4j), ideas, research findings, metrics, R&D, etc. in Python (including Cython, Numba, CFFI, etc.), C and C++.

• Have completed a lot of successful projects using Python, C, and C++, and their corresponding Machine Learning, Statistical and programming ecosystem of libraries & frameworks including Scikit-Learn, statsmodels, Pandas, TensorFlow, PyTorch, PyMC3, Pyro, Tensorflow Probability, Flashlight, spaCy, NLTK, OpenCV, DLib, mlpack, VLFeat, Qt, Eigen, Armadillo, Boost, etc.

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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