Data Scientist (AWS, Python, Database)

Floor 4th, Friendship Tower - 31 Lê Duẫn, Phường Bến Nghé, District 1, Ho Chi Minh
See map
10 hours ago

Top 3 Reasons To Join Us

  • Attractive salary
  • 12 annual leave + 4 sick leave
  • Appraisal and salary review

Job Description

  • Build, monitor and improve machine learning models to achieve business objectives;
  • Work closely with engineering teams to help to build data solutions for BAEMIN service gradually.
  • Keep monitoring and analyze the operational data to find implications and insights.
  • Analyze market information and user behavior data to determine what we need to do for improving our service.
  • Working time: 5 days/week, 9 am – 5:30 pm
  • Working place: 4th Floor, Friendship Tower, 31 Le Duan, Ben Nghe Ward, Dist 1, HCMC

Data Scientist (AWS, Python, Database)

Your Skills and Experience

  • A degree in IT/Computer Science/Statistics/Economics/Data Science or certification in related fields.
  • 1 - 3 years of experience in machine learning projects.
  • Firm grasp of machine learning algorithms.
  • Strong programming skills (eg. Python)
  • Database experience with advanced SQL skills.
  • Knowledge of creating and maintaining data pipelines is a plus.
  • API experience to work with data from 3rd party vendors for import and export.
  • Outstanding communications skills with both technical and non-technical colleagues.
  • Familiar with cloud base infrastructure. (e.g. AWS, Google Cloud)
  • Good at speaking/writing in English.
  • Good to have a conversation level skill in Korean (not mandatory).

Why You'll Love Working Here

1/ Attractive salary & benefits

  • 12 annual leave + 4 full-paid sick leave
  • Year-end bonus, public holiday bonus, birthday bonus;
  • Appraisal and salary review every year

2/ Macbook for employees

3/ Training Courses

  • Personal training, internal training, oversea training in Korea.....

4/ Activities

  • Company trip & Team building every year;
  • Year End Party;
  • Team building for Team/Dept every month;

5/ Transportation: Taxi for working purpose

6/ Vouchers

7/ Opportunity to be trained & worked in a leading e-commerce company in Viet Nam;