Zalo

What you will do Outline stages of a data product life cycles and propose implementation plan; Research best practices and new methodologies in ML/AI; Design ML/AI experiment to evaluate impact and answer business questions; Package solution as a scalable automated computing pipeline; Feedback loop to measure & improve accuracy and outcomes over time; Translate complex findings and results into a compelling narrative; Aware of design patterns encompassing efficient presentations and dashboards. 👾 What you will need 3+ years experience in building production model as Data Scientist/ML Engineer; Strong experience in programming using Python, Pyspark, Spark, SQL...; Knowledge and experience in Big data, data mining; Able to clearly and effectively communicate to cross functional stakeholders of varying technical understanding; Creative thinking, opening mindset, young, active and good at both team/individual works;

It is a strong plus if you have: Experience in Scoring, Demand Targeting, Recommendation, or Ads industry; Knowledge and experience in Kubernetes, Docker is a plus Experience in boosting, deep learning, graph-based model, embedding; Kaggle competition achievements.