The Data team at Shopee consists of the Business Intelligence and Data Science teams. The Business Intelligence team plays a critical role in building Shopee’s data platforms and conducting business-related analysis to solve business-related issues. The Data Science team prides itself in using scientific methods and hacking skills to power key business processes and elevate the business model based on a deep understanding of Shopee’s business strategy. This includes machine learning, computer vision, natural language processing, and rules-based models.
As a Shopee data scientist for risk modelling, you may contribute your talent in our exciting projects in some of the following ways:
Work on retail and SME finance products such as consumer lending, personal finance, seller loan and so on
Analyze customer behaviour pattern, build models and tools to reduce fraud risk in different aspect, for example, customer information verification, skip tracing, anti cash-out, non-starter detection and so on
Collaborate closely with the business team. Translate business needs and insight into machine learning models.
Analyze massive data such as customer profiling, e-commerce transaction, text, image and time series.Feature engineering and proof of concept in a fast pace and maintain data pipeline and feature pool
3-5 years relevant credit or antifraud model development experience
Familiar with popular machine learning models such as boosting trees, regression models
Good coding skill using SQL, Python and Spark
Eager to learn new things and has passion in work
Take responsibility, team oriented, result oriented, customer oriented
Prefer to have some big data experience
Experience in network analysis is a plus