ZaloPay, Senior Data Scientist

Tp Hồ Chí Minh
Lâu dài
Toàn thời gian

1 tháng trước
Ứng tuyển Dễ dàng

Make the Internet change Vietnamese livesVNG believes in the power of the Internet and sees it as its mission to bring Internet users meaningful experiences. Each day, millions of young Vietnamese entertain, network and make friends, shop online or engage in social activities through VNG products, which are the ways VNG creates value for the society.MISSION & CORE VALUES

Passion
Learning
Teamwork
Integrity
Dynamic
Customer

We're a Fintech product in Viet Nam with young people and full of energy. Our aim is to optimize product across the entire user journey, identify and create new audiences. We are looking for a Senior Data Scientist to join our Data Science Team. You’ll be part of a team that is disrupting the industry with innovative attribution models and building the future analytics platform to be used by many teams (Tech, Promotion,..) for User Behavior, Campaign performance and market insights. You’ll be working on very exciting projects using big data technologies with terabytes of data coming from different source.Responsibilities:

Work with many teams (PO, Tech, BO) to understand dataflow, cashflow
Identify problems and propose recommendations
Focus on bringing statistical depth, analytical insights, and accurate interpretation of data
Measure system performance and also deeper understand trends by providing insights and recommendations based on large amounts of data from various sources
Design innovative attribution models to implement valuable metrics and better address system enhancement, user behavior
Build and maintain visually appealing and engaging dashboards for stakeholders
Work with Data Engineers to help define the data standards and requirements helping to ensure our systems are running correctly and efficiently.
Involve in the development and evolvement of the data architecture
Support internal training and proper documentation ensuring the successful onboarding of new team members

5+ years relevant work experience with large amounts of data
Education background in machine learning, statistics, math, data science, computer science or other closely related area
Strong machine learning/statistics background with hands-on experience in academia and/or industry, sourcing, cleaning, manipulating and analyzing large volumes of data
Experience with open-source machine learning libraries such as numpy, pandas, scikit-learn, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib) and deep learning framework (e.g., TensorFlow, Pytorch)
Understand the business domain (FinTech, AdTech knowledge is a plus)
Can plan, prioritize and troubleshoot
Experience with recommendation systems is a plus
Experience with data science models in finance domain or CRM (e.g., credit scoring, CLV, churn, etc) is a plus.

9cv9