WeChat ID: SVARecruitment

Data Scientist CV, NLP and Machine Learning- HK –FinTech Start-Up, +$840K HKD

Data Scientist

Ref: 199Friday 27 August 2021

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Company Summary

  • Our client is a well-established and very young FinTech company, who specializes in brainstorming start up ideas uniting Finance and Technology.
  • Specializes in Commercial, Sales and Business Development and Research and Development such as product management based in Shanghai
  • They have a team of Finance and Technology Experts coming from prominent companies such as Fitch, Standard Chartered Bank, Oracle, Google, Robinhood and Turn,
  • Established for over 5 years, with +57 employees, offices in US and Asia.

 

Job Description

  • A very young companywho is looking for a Phd data scientist to join the team in Hong Kong. Would consider fresh graduates but needs some real work experience.
  • Deploy, maintain and improve CV models. Developing machine learning platform and automating data processes.
  • Researching and Implementing computer vision and machine learning models are like Table Extraction, OCR, Object Detection, Semantic Segmentation and etc.
  • Talk to and stand by on site teams in Shanghai
  • Bring new technical ideas, in keeping with the latest industry trends, to actualization by prototyping and incorporating it into our own platform

 

Key Candidate Criteria

  • 3-5 years of experience hands on in data science and or data engineering.
  • At least 1-3 years of hands on experience in AI technology like machine learning, NLP, Computer Vision or Deep learning CV focus and OCR.
  • A PHD in Computer Science Education is a must.
  • Must be heavily hands on using Python or R everyday.
  • Should be familiar with database, framework structure, storage and format.
  • Can speak fluent English, Mandarin is ideal but not a must.

 

Office

  • Hong Kong, Beijing and Shanghai. Preferably in Hong Kong but Beijing and Shanghai is ideal.
  • Remote work but willing to work on site is ideal

 

 

Salary

  • Up to 840K HKD Annual
  • Medical & Other Benefits
  • Generous Annual Leave
  • Stock Options
  • Annual Salary Review & Increase

 

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