Lead Data Scientist (Retail & Wholesale, AI Initiatives)

About the Company

CP AXTRA | Lotus's
CP AXTRA Public Company Limited.
Nawamin Office: Buengkum, Bangkok 10230, Thailand

Responsibilities

• Leadership and Strategy: Drive end-to-end AI and Advanced Analytics initiatives to support CP Axtra’s Retail & Wholesale businesses; develop and execute a forward-looking AI strategy to deliver measurable impact on revenue growth, cost efficiency, and customer engagement; serve as a bridge between business and technology; stay updated on global and local AI trends including Generative AI, personalization, forecasting, and optimization.
• Analytics and AI Execution: Lead design, development, and deployment of ML and AI models (personalization engines, pricing optimization, demand forecasting, inventory management, GenAI/NLP applications); oversee experimentation, validation, monitoring to ensure scalability, reliability, and business integration; collaborate with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Business Partnership: Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption; build strong stakeholder relationships, align priorities, communicate trade-offs, and act as trusted advisor to senior executives by translating complex AI insights into actionable recommendations; evangelize data-driven decision-making.
• People Leadership and Collaboration: Mentor and coach data scientists and analysts; foster a culture of innovation, experimentation, and continuous learning; promote cross-functional collaboration with Business Intelligence and Data Engineering teams and encourage knowledge sharing to build internal AI/ML capability.
• Performance Monitoring and Optimization: Define and monitor success metrics for AI initiatives (sales uplift, campaign ROI, operational cost reduction, customer lifetime value); continuously assess and optimize AI-driven processes and share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or related field; Master’s or PhD strongly preferred.
• 5+ years of experience in data science, advanced analytics, or AI applications; experience in Retail or Wholesale domain preferred.
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Proficiency in Python, R, SQL and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Databricks).
• Experience with data visualization tools (Power BI, Tableau) and modern MLOps practices.
• Strong stakeholder management and communication skills; understanding of retail and wholesale operations including customer journey, pricing, promotion, assortment, and supply chain optimization.

Additional Information

• Work arrangement: Onsite
• Employment type: Full-time