LINE MAN Wongnai

LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.

We are looking for an experienced Data Scientist to oversee the research, working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.

• →Improve Recommendation Services
  • →Building deep knowledge around LINE MAN Wongnai's business related to recommendation services
  • →Building on, developing, and enhancing the architecture of the interconnected network of predictive and analytic data models
  • →Building scalable prototypes of data tools for testing and proof-of-concept
• →Data and Analytics
  • →Analyzing results of experiments with rigorous statistical methods to conclude and suggest strategies to improve the business of LMWN
  • →Performing data enrichment and profiling through inferential statistics based on multi-dimensional customer and merchant behavioural data
  • →Identifying growth opportunities by analyzing LINE MAN Wongnai's vast amounts of data, develop models that can be used for optimization to ensure platform's growth
• →Technology
  • →Researching and building new technological to enhance recommendation capabilities for LMWN
  • →Knowledge in natural language processing, information retrieval domain, or knowledge graph is a plus

• Bachelor Degree in Computer Science, Statistics, Data Analytics, or related fields
• 3-7 years of experience in data science, statistical or mathematical research, operations research, or complex data modeling and analytics
• Evidence of previous projects (personal or work-related) with complex analytics and statistical/machine learning techniques using R/Python
• Strong SQL skills.
• Good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints
• Familiarity with the mathematics underpinning analytics (linear programming, linear algebra, convex optimisations, etc.) is a plus
• Great communication skills, organization skills, multitasking and teamwork
• A good command of English and Thai