Head of Data Science

Central Retail (Bang Rak, Bangkok City, Thailand)

Bangkok, Thailand

Central Retail Corporation Public Company Limited (“the Company” or “Central Retail”) is the leading multi-format and multi-category retailing platform in Thailand. Central Retail is also growing internationally, securing leadership status in Italy, and becoming one of the leaders in Vietnam.

About this position

Lead our organization's data science division, driving innovation and business transformation through advanced analytics and AI solutions. This role combines retail industry expertise with strategic leadership to revolutionize our customer experience, operations, and business performance in Central Retail through data-driven initiatives.

Responsibilities

• Define and execute Central Retail’s data science strategy
• Build and lead teams specialized in retail analytics, customer insights, and operational optimization
• Drive data-driven transformation across BUs & retail operations
• Establish frameworks for retail-focused AI/ML initiatives
• Manage budget and resources for retail data science programs
• Partner with C-level executives to align data science with retail business objectives
• Collaborate with business stakeholders to identify and solve complex business problems using data-driven approaches
• Develop and deploy machine learning models for various applications including marketing, customer segmentation, demand forecasting, and supply chain optimization
• Conduct thorough data analysis and provide actionable insights to drive business decisions
• Create and present data visualizations and dashboards to communicate effectively to non-technical stakeholders
• Design and implement data pipelines and ETL processes to ensure robust data management and quality
• Work closely with the DevOps team to ensure smooth deployment and monitoring of data science solutions
• Stay updated with the latest trends and advancements in data science and apply them to improve existing solutions
• Mentor and guide junior data scientists and analysts in the team
• Guide architecture decisions for omnichannel retail analytics
• Drive innovation in retail-focused AI/ML applications

Requirements

• Bachelor's/master’s degree in a quantitative field such as computer science, mathematics, physics, or economics.
• 10+ years of data science experience, with significant retail industry exposure
• Demonstrated ability to work on multiple projects simultaneously and deliver high-quality results.
• Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Enthusiastic, innovative, with an analytical mind and a 'can do' attitude, capable of using data to tell compelling stories.
• Deep understanding of retail operations and metrics
• Experience with omnichannel retail analytics
• Knowledge of retail technology landscape
• Understanding of retail-specific regulations
• Expertise in retail competitive analysis
• Experience with retail transformation initiatives
• Advanced ML/AI methodologies for retail applications
• Retail-focused cloud solutions
• Strong track record of delivering enterprise-scale retail ML/AI solutions
• Big data technologies for retail scale
• Retail data security and privacy
• MLOps in retail environments
• Enterprise architecture for retail platforms
• Customer experience optimization
• Supply chain efficiency
• Store performance analytics
• E-commerce optimization