Data Scientist

Posted 23 Hours Ago
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Bangkok, Phra Nakhon, Bangkok
Junior
Information Technology • Consulting
The Role
The Data Scientist will research and develop new technological capabilities, optimize business processes, and enhance predictive and analytic data models to support LINE MAN Wongnai's growth. Responsibilities include building data tools, analyzing data for growth opportunities, and performing statistical analysis.
Summary Generated by Built In

About 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.
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, develop 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
  • 0–5 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

        Top Skills

        Python
        R
        The Company
        Klongtoey, Bangkok
        2,020 Employees
        On-site Workplace
        Year Founded: 1175

        What We Do

        LINE MAN Wongnai aim to help Thai people live better, to empower all local businesses with our e-Commerce platform for services.Our platform will connect consumers, riders and local businesses and improve the daily life of all parties. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people. We know it’s not easy, and that’s exactly why we want to do it. For press inquiries: [email protected]

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