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Opportunities to work at VNLIFE Singapore

Please send your CV to recruitment@vnlife.vn

Data Scientist, Payment Growth

Data Science

Started since 2007, VNLIFE is a diverse ecosystem comprising leading companies driving transformations in both traditional and growing demand sectors in the economy such as tourism, logistics, commerce, and constantly expanding its presence beyond VietNam to Singapore, Myanmar, and Cambodia.

The Data Science team currently focuses on payments and retails. Every data scientist is expected to own an end-to-end lifecycle of framing business problem statements, building MVPs, designing models and systems, preparing data pipelines, deploying to production. Each Data Scientist typically focuses on 1 business domain at a time, with rotation opportunities and exposure to peers’ work. The team is looking for passionate data scientists who aim to become thinkers, leaders and pioneers. We work remotely from 3 sites: Ha Noi, Ho Chi Minh and Singapore.

The work

We strive to provide great working experiences for our engineers and our larger tech team. We believe that happy engineers are the most productive engineers who will grow with our company for a long time. What we do:

  • Oversees the entire user journey on VNPay-QR, innovates engagement methods and identifies opportunities to engage existing users, driving MAU as well as growing our customer base
  • Collaborates with business planning, engineering and marketing to create meaningful campaigns for millions of Vietnamese users, help users build long-lasting relationships with VNPay.
  • Uses analysis, experimentation and machine learning to drive improvements in user signups and user engagement, lead experiments to deliver the right values to the right users at the right time. plans, builds, and manages data pipelines and dashboards
  • Maintains and evolves our A/B testing platform and ML based personalisation models, leads platform and model improvements by working with cross-functional teams.
  • Establishes goals and success metrics in close coordination with marketing and business planning. works with vast data sets to deliver impactful dashboards and analysis pieces, driving growth direction and strategies. communicates insights and recommendations through clear visualizations and presentations
  • Supports exploratory analysis to enable cross-functional teams to better understand key user behaviors and investigate any campaign errors.

Minimum qualification (Exact responsibilities vary with levels)

  • Bachelor of Science in Machine Learning, Statistics, Applied Mathematics, Physics, Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, or related technical field/experience.
  • Proficient in Python and PySpark, or display ability to catch up quickly on Python. Proficient in SQL, or display ability to catch up in sequel.
  • Understand and display ability to apply A/B test
  • Display ability to design and execute on prototype models.
  • Responsible and self-motivated, curious and independent learner, constantly strive for improvement and enjoy sharing knowledge with team members.
  • Detail-oriented and efficient time management in a dynamic and fast-paced working environment.

Preferred Qualifications

  • Passionate about payment and growth
  • Real-world implementation experience in machine learning including classification, clustering, and anomaly detection. Deep understanding and implementation experience of predictive modeling algorithms such as logistic regression, neural networks, forward propagation, decision trees and heuristic models, with familiarity dealing with trade-offs.
  • Real-world experience in ETL, feature selections, hyper-parameter optimization, model validation and visualization.
  • Experience in tools like Scikit-Learn, Pandas, and XGBoost.
  • Experience in deep learning frameworks like Tensorflow or PyTorch.
  • Experience researching or working in at least one of the following sectors: retails or e-commerce, financial or payment services, telecommunications, POS, social networks, travels, or other sectors within the VNLife ecosystem.
  • Experience implementing research papers in code.
  • Experience in interfacing with other teams and departments to deliver impact for the organization.

Staff Software

Cloud based Omni-channel Retail platform