Job title: Data Scientist
Job type: Permanent
Emp type: Full-time
Industry: Information Technology
Salary type: Monthly
Location: Bangkok, TH
Job published: 09/05/2025
Job ID: 50104
Contact name: Nuttanee Piboonthanakiat

Job Description

Job Summary

  • We’re looking for a highly proactive Data Scientist with strong experience in Machine Learning (ML) and Generative AI. If you're passionate about building scalable AI-powered applications, deploying ML models into production, and creating impactful learning experiences through AI innovation—this role is for you.

Key Responsibilities:

  • Identify and automate data collection from valuable sources for AI and chatbot development.
  • Preprocess structured and unstructured data for ML and Generative AI training.
  • Develop and fine-tune predictive models and intelligent assistants using GenAI.
  • Deploy ML models and chatbots into scalable, web-based production environments.
  • Analyze large datasets to drive insights that improve learning experiences.
  • Build dashboards to track model performance and data trends.
  • Collaborate with cross-functional teams to integrate AI features into platforms.
  • Maintain and troubleshoot ETL pipelines supporting data warehouse systems.
  • Lead POCs and clearly communicate findings and ideas to stakeholders.
  • Stay ahead of the curve on Generative AI trends and tools.

Required Qualifications & Skills:

  • Strong background in Machine Learning and AI algorithms.
  • Proficient in Python, SQL, and R; Django experience is a bonus.
  • Hands-on experience with ETL pipelines, Apache Airflow, and workflow orchestration.
  • Familiarity with Generative AI models (e.g., ChatGPT, Claude, Gemini, Mistral).
  • Experience using LangChain, LlamaIndex, or LangGraph for GenAI apps.
  • Strong statistical, mathematical, and data mining skills.
  • Experience with BI tools like Tableau or Looker Studio is a plus.
  • Strong analytical mindset, excellent problem-solving and communication skills.
  • Product thinking and experience in building end-to-end AI-powered experiences is a strong advantage.

Education & Background

  • BSc/BA in Computer Science, Engineering, or related field (Master’s preferred).
  • Minimum 2 years in a Data Scientist, ML Engineer, or AI Engineer role.
  • Experience working in a tech-driven or startup environment is highly valued.