Data Scientist

Position Objective As a Data Scientist, Will be instrumental in building predictive models and machine learning solutions that drive business improvements. Key Responsibilities End-to-End Machine Learning: Design, develop, and train machine learning models using Python. Handle data preparation, feature engineering, and exploratory data analysis to uncover actionable business insights. Enterprise Predictive Analytics: Build and deploy targeted predictive models to improve sales forecast accuracy, enable predictive maintenance, optimize inventory levels, and streamline logistics and route planning. Local LLM Development: Build, fine-tune, and maintain local LLMs tailored for business-specific tasks, ensuring data privacy while delivering robust capabilities in knowledge retrieval, document summarization, and internal chatbots. RAG System Engineering: Design, implement, and continuously improve Retrieval-Augmented Generation (RAG) systems to ground AI responses in our proprietary enterprise data. Prompt Engineering & Optimization: Create and rigorously test prompt engineering strategies to maximize the quality, accuracy, and reliability of LLM outputs. Workflow Automation: Apply AI and machine learning capabilities to automate complex business workflows, driving continuous improvement across business operations. Cross-Functional Collaboration: Work closely with Digital Analysts, Business Analysts, and Data Engineers to translate business requirements into technical architectures and deliver high-impact data solutions. Work Location Head Office Rangsit Major Computer Engineering, Statistics, Mathematics, Computer Science, Data Analytics, Business Analytics Specialization Deep conceptual and practical understanding of key LLM Model mechanisms, including context window management, text embeddings, vector search Other Qualifications Strong software development background with high proficiency in Python or TypeScript. Experience Minimum of 2 years