Data Scientist

What you’ll Do:

Technology

• researching and building new technological capabilities for LMWN (e.g., Transformers/ LLM, NLP, experimentation-related capabilities)

Business Process Optimisation/ Consulting

• Building scalable prototypes of data tools for testing and proof-of-concept
• Building deep knowledge around LINE MAN Wongnai’s business activities in various business units and identifying areas where D*STAR can improve business processes
• Identify growth opportunities by analyzing LINE MAN Wongnai’s vast amounts of data, and developing models that can be used for optimization to ensure platform’s growth

Data and Analytics

• Building on, developing, and enhancing the architecture of the interconnected network of predictive and analytic data models that form the basis of strategy, insight, business understanding, forecasting, and analysis throughout the organisation
• Performing data enrichment and profiling through inferential statistics based on multi-dimensional customer and merchant behavioural data

What you’ll Need:

• Bachelor Degree in Computer Science, Statistics, Data Analytics, Business Administration, or related fields
• 0–3 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.
• Familiarity with the mathematics underpinning analytics (linear programming, linear algebra, convex optimisations, etc.) is a plus
• 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 through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping
• Great communication skills, organization skills, multitasking and teamwork
• A good command of English