Job Posting End Date:

Worker Type:

Responsible For
Identifying, prioritising and undertaking a range of research and analytical activities leveraging all available data assets to help solve complex business problems through the development and application of advanced statistical modelling techniques.

Main Activities
Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
Providing hands-on support as required in formulating a coherent cross-business approach and strategic/tactical plan for big data initiatives.
Learning, adopting and leveraging data science best practice to delivery quantitative improvements to the analytics and process modelling functions.
Working with massive and complex data sets from multiple sources, utilising big data tools and techniques for the purposes of analysing, providing insight and validating hypotheses.
Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
Making recommendations for the collection of new data or the refinement of existing data sources and storage.
Developing best practice guidelines for instrumentation and experimentation.


Key Skills
Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
Strong passion for empirical research and for answering hard questions with data.
Expert knowledge of analysis tools and big data technologies (Map/Reduce, Hadoop, Hive, etc).
Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Flexible analytical approach that allows for results at varying levels of precision.
Solid understanding and experience with programming logic and various paradigms.


Typical Experience
At least 3 - 5 years experience in a data science environment (experience may be corporate, research/government or academia) coupled with tertiary qualifications to a Masters or PhD level in a relevant technical field.

It's more than just a career at NAB!

We believe in people with people and dreams, and we want you to achieve your aspirations. More than just a career, NAB Vietnam offers you a flexibility to balance your work - life, the opportunity to grow as professionals, people and a complete set of well-being offerings. If you have an appetite to learn, grow and elevate others around you, this is the place for you.

IT'S MORE THAN MONEY

We naturally also provide a very competitive remuneration package but a career with us is about a lot more than money. We believe in people with ideas and dreams, and we want you to achieve your aspirations. We will work together to deliver exceptional products and outcomes that push the limits of our own aspirations. Our passion for creating value and exceeding our customers' expectations means we are constantly striving to redefine our standards of excellence. You will have our backing to develop and our encouragement to explore, realize and reach your full potential.