Data Scientist, Data Analyst, JavaScript Python

Department: HOT HK
Salary: $75K HKD per month

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RECRUITER SUMMARY

HOT_HK Data Scientist, Data Analyst, JavaScript Python, $75K HKD per month

20/02/2024

Candidate Background

Nationality:
Chinese
Residence:
China
Education:
Master of Science, Big Data Technology XXXX, Bachelor of Engineering in Computer Science XXXX
Languages:
English – Fluent, Mandarin – Native, Cantonese – Fluent
Experience:
4+ years of experience in the industry Current & Previous Employers and jobs include: Data Analyst at XXXX, Data Analyst Intern at XXXX, Research Assistant at XXXX, Program Engineer at XXXX, Program Engineer at XXXX
Motives:
Is actively looking for a job right now because looking for better compensation. Open for the Data Engineer role.
Current Salary:
$63K HKD per month
Expected Salary:
$75K HKD per month
Notice Period:
3 Months
Interview Availability:
Requires a day notice

Interview Assessment Notes

  1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
    He is currently working as a Data Analyst for XXXX and is responsible for the whole data side and data analytics. He is also doing the data flow system and also the one to design and develop quantitative analysis system for the company. Another responsible with this company is doing analytics in stock price.
  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be Python and JavaScript since these are the two major programming languages in the market that he’s also using in his current work. Rates himself a 4 out of 5 when it comes to Python since he can say he’s familiar with it and different framework/libraries.    
  3. Do you have the lists of key criteria’s according to the clients’ requirements?
    Has around 3+ years of experience as a data analyst/engineer. He is strong with Python and JavaScript, and also mostly uses MySQL and MongoDB. Doing automated data pipelines and mapping across databases in his current work. Also good with AWS and Microsoft Azure.

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