Chief Data Scientist - Artificial Intelligence (AI) Expat OK

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Haidian District, Beijing, China
$230,000 - $330,000
Job Type
Direct Hire
Dec 05, 2017
Job ID

Client is a startup company from China, already with C- round funding, and specialized on very niche "AI + industry" for the Enterprise "to B" market.  Their primary vertical Enterprise markets includes Public Security, Financial Banking and Services, and Industrial Manufacturing sectors. Reporting to the CTO, this Chief Scientist role is now a very good timing for candidates to become a member of the core team.  We are recruiting Worldwide - Big IT companies, Top Research Institutes, from USA or Europe. Salary $1,500,000.00 - $2,000,000.00 - Chinese Yuan Renminbi - Yearly + bonus, stock options but open to negotiation for the right person.

Job Responsibilities:

  1. Leading research teams to be the world-class one and transfer the ideas to product. Act as a leading role in AI theory and technology, contribute the knowledge to the development of AI and execute the strategic planning;
  2. Responsible for training and developing the data scientist teams, and continuously improve the theoretical and technical capability of the teams.


  1. PhD degree of computer science / AI or above, 15+ years research experience in CV or NLP or AI.
  2. Preferred industrial experience in big IT companies, top research institutes or labs. 
  3. Deep understanding and variety of cases of Industry AI, and building systems is a big plus. 
  4. Strong background of AI research, and achieved good results. Various high-quality articles have been published in international journals and conferences.
  5. Able to drive technical team and work with innovation and passion. Excellent communication and skills are a must.
  6. Chinese speaking is a MUST.
  7. Candidate willing to relocate to work in Beijing, ambitious for working and creating values in a fast paced startup working environment.

Will relocate from: Worldwide - Big IT companies, Top Research Institutes, from USA or Europe preferred.