Lead Data Scientist (Retail & Wholesale, AI Initiatives), Lotus's
Makro PROBangkok, Thailand
Posted October 14, 2025
Full Time
About the Company
Our vision is to bring about change for how life could be better fulfilled with good health, love, joy, and well-being. We are committed to being a trusted partner to our professional customers. For over 30 years, Makro has been committed to developing its business, products, and services to be in line with the needs of its customers, together with expanding the business in its home market of Thailand as well as abroad through various formats and sales channels to create and maintain its competitive advantage. Our mission is “To become the number one B2B and B2C retailer in Asia, combining both online and offline platforms, by fulfilling our customers’ daily needs with technology, innovation, and operational excellence, together with individuals and partners in a sustainable way.” At Makro, “People” are always placed as one of the company’s top priorities, with a goal to become an “Employer of Choice for All Generations”, by focusing on engagement and modernizing the organization, we aim to be a place for all generations to grow, develop and succeed within their life and career.
Job Description
Lotus is seeking a Lead Data Scientist to drive AI initiatives within Retail & Wholesale businesses. This role involves leading the design, development, and deployment of machine learning models for personalized experiences, demand forecasting, and supply chain optimization. Collaboration with various business units is crucial for successful AI adoption.
Requirements
- Bachelor’s degree in a related field
- 5+ years of experience in data science, advanced analytics, or AI applications
- Proven experience delivering AI/ML solutions from ideation to production
- Proficiency in Python, R, SQL, and machine learning frameworks
- Familiarity with GenAI and NLP frameworks
- Familiarity with cloud-based data platforms and big data technologies
- Experience with data visualization tools and modern MLOps
- Strong stakeholder management and communication skills
- Understanding of retail and wholesale operations
Benefits
- Health Insurance
- Provident Fund
- Year-end bonus
- Attractive Vacations days
- No overtime
- Free car parking space
- Best Culture
