Data Science Intern
by ShopeeTo be confirmed
E-commerce, Internet & Online
University
Singapore
5
SGD ≥1001
To be confirmed
Job Description
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.
Job Reponsibilities include:
• Data Crunching and data massage
• Implementation/tuning of machine learning algorithms
• Data science/machine learning experiments
• Help on build innovative data products using cutting edge tools and technologies
Internship Requirements
• Studying in a reputable university, penultimate or final year students preferred
• SQL, Excel, Python or R or Java coding experience
• Basic knowledge of data structures and algorithms
• Interested in data science, data mining, machine learning and statistics
• Motivated and fast learner
About the Company
Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. It is a platform tailored for the region, providing customers with an easy, secure and fast online shopping experience through strong payment and logistical support.
Shopee aims to continually enhance its platform and become the region’s e-commerce destination of choice via ongoing product optimisation and localised user-centered strategies.
Shopee, a Sea company, was first launched in Singapore in 2015, and has since expanded its reach to Malaysia, Thailand, Taiwan, Indonesia, Vietnam and the Philippines. Sea is a leader in digital entertainment, e-commerce and digital financial services across Greater Southeast Asia. Sea's mission is to better the lives of consumers and small businesses with technology, and is listed on the NYSE under the symbol SE.
