As a mainstream communication platform, Zalo makes it easier to meaningfully connect with people, from family to friends to work.
As a Data Scientist working on Zalo product, you have a chance to make a positive impact on more than 50M users by leveraging the power of our data.
Specifically, this role focuses on data science to understand our users, finding opportunities to improve user satisfaction by Data Science techniques.
What you will do :
Building recommendation systems to improve User Engagement in Zalo. We test every change in model and logic carefully by an A / B Testing Framework to make sure they have significant improvements on Zalo.
Working with Mobile Devs and Backend Devs to provide stability for your Data Science solution. Making a good model is hard, but making a good scalability model for 100M users in Zalo is even more challenging.
You must think like a scientist and code like an engineer.
Working with Product Owner to identify the opportunities how Data can improve User Engagement, User Experience in Zalo.
If you have a good idea, you have a chance to make it real.
Perform analyses to understand user behaviors and find actionable insights for current and future data-focused innovation.
This can involve a host of different techniques such as user profiling, graph analysis, predictive modeling.
Measure, track and improve the performance of the models continuously to detect model drift, feature drift, concept drift.
Take part in improving core Data components (Model, Libraries, Feature Store) to improve productivity and processes. 
