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Associate Data Scientist

Hong Kong, 26 July 2021

What You Will Be Doing

  • Mine, manipulate and perform statistical analysis on multiple data sets to build scalable enterprise analytics solutions

  • Select features, build and optimize classifiers using various machine learning techniques

  • Identify what data is available and relevant, including internal and external data sources and collaborates with institute subject matter experts to select the best approach

  • Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems

  • Generate and validate hypotheses with variety of testing methods (A/B, multi-variate) to measure the impact of ongoing campaigns and retail initiatives

  • Scope and define own work by researching and developing new content (Text & Computer Vision) that will drive large business impact opportunities

You Need To Be

  • Bachelor’s / Master’s Degree with major in Mathematics, Statistics, Physics, Computer Science, Engineering, Econometrics or related discipline

  • 3-5 Years working with big datasets and on large scale analytical projects

  • In-depth knowledge on programming language such as R, Python or SAS to manipulate data and draw insights from large data sets

  • Extensive background in statistics concepts, such as distributions, hypothesis testing, regression

  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark,, MySQL, etc

  • Must-have knowledge on a variety of machine learning techniques including clustering, decision trees, neural networks and their real-world advantages/drawbacks

  • Experience with data visualization tools/packs, such as Power BI, Tableau etc

  • Nice to have: Working knowledge in NLP techniques such as topic modelling, named-entity recognition. semantic analysis, intent recognition etc.

  • Nice to have: Working knowledge in image processing techniques such as image segmentation, Feature Matching, Image classification, Edge and Contour Detection techniques etc

  • Preferred background in retail, loyalty, ecommerce or consulting

  • Good command of written and spoken English

*Information provided will be treated in strict confidence and only be used for recruitment purpose.

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