1. Responsible 

• Apply data analysis, and modeling techniques to get insights the data, improve our products, etc. 
• Collaborate with members in data science teams or other teams in order to take projects from concepts to productions. 

2. Requirements

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES

• 3rd, 4th or final year students in a quantitative field, such as computer science, engineering, physics, statistics, or applied mathematics.
• Have knowledge in statistical, data-mining techniques, machine learning and deep learning models.
• Programming skills in languages such as Python, Java, and/or C++
• Ability to use frameworks such as scikit-learn, pytorch, tensorflow, etc.
• Have knowledge and experience working with different data formats and relational databases.
• Have experience in manipulating data and draw insights from datasets.
• Problem and solving skills

DESIRED ADDITIONAL SKILLS AND ABILITIES

• Honest, curious and motivated
• Hands-on analytics experience.
• Passion for defining the next generation of customer experience excellence.
• Evidence of entrepreneurial drive and having a “start-up” mentality.
• Industry experience in retail banking, pharma, healthcare, insurance, telecommunications or digital is a plus.

3. Benefits

• Allowance: Upto 6 million dong/month + Bonus
• Clear promotion roadmap, opportunity to access new technologies, knowledge and to work with experienced experts in AI
• Be trained professionally by experienced mentor s about expertise, soft skills before entering a specific job
• Join in AI contests
• Participate in and co-name the international paper of the team.
• Young and enthusiastic working environment
• Diverse internal events: Monthly employees’ birthday party: Happy Friday; Activities to celebrate the company's establishment day and holidays: International Women's Day  8/3,  Vietnamese Women's Day 20/10, Christmas Day, New Year's Day, Mid-Autumn Festival, Children's New Year 1/6,…;Annual football tournaments, game tournaments and volunteer activities 
• Free Parking, pantry, microwave, coffee maker,...
• Working time: 8h30 – 17h30 (off 1 hour for lunch) from Monday to Friday, Saturday and Sunday off