Smoooth Biz

Smoooth Biz

Job Details- Data Scientist / Data Engineer (Artificial Intelligence)

Job Details

Data Scientist / Data Engineer (Artificial Intelligence)

Hong Kong Science Park, New Territories


  • Translating unstructured business questions into an abstract mathematical framework.
  • Bring a combination of mathematical model and innovative algorithm design to extract relevant insights from data.
  • Build solution and algorithm with measurable impact and appropriate verification plans.
  • Conduct technology research, POC, and evaluation through building models of data mining, deep learning, etc.
  • Building Computer Vision machine learning and deep learning model.
  • Optimize the machine learning and deep learning model performance.
  • Data management, e.g. using or developing data pipeline.
  • Develop software programs and system integration for machine learning.
  • Interpret data and analyze results.
  • Drive ideas for future analyses and technologies.
  • Work closely with other teams on deployment, system integration, interface to create and convey design solutions.


  • Bachelor degree in Statistics, Mathematics, Data Science, Operation. Research, Computer Science / Engineering or related disciplines; A Master degree or PhD would be advantageous.
  • Experience in programming & scripting languages (e.g. Python or C++).
  • Experience in statistical analysis tools, data mining tools, machine learning tools (e.g. Tensorflow, Caffe, Pytorch, or equivalent) is preferred.
  • 2 years or above relevant experience in data science, machine learning, data / business warehouse or predictive data analysis would be advantageous.
  • Experience in handling large amount of data to drive significant business impact is an advantage.
  • Experience working with cloud infrastructure would be advantageous.
  • Knowledge in I.T., computer hardware, would be advantageous.
  • Good at analytical thinking with solid mathematics and statistics knowledge.
  • Excellent communication skills, data-oriented personality and ability to work in a collaborative environment.
We offer attractive remuneration with excellent development opportunities to the right candidate. Interested parties please apply with a detailed resume stating present and expected salary, and date of availability. All personal information is collected for recruitment purpose solely.

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