JOB SUMMARY

The Lead Data Scientist plays a key role in shaping Siam Piwat Shopping malls to become data-driven organization by developing advanced analytics and AI solutions that enhance business performance, customer understanding, and strategic decision-making.
This role emphasizes on project ownership, from problem identification to model deployment and insight delivery, ensuring analytics outcomes directly support internal and external data sources to drive tenant performance, loyalty program, and excellence customer experience.

KEY RESPONSIBILITIES

Project Leadership & Delivery

• Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
• Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
• Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
• Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.

Technical Execution & Supervision

• Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
• Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
• Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
• Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.

Business Impact & Innovation

• Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
• Monitor and assess emerging market and consumer trends to guide future business strategies.
• Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
• Foster a culture of innovation and continuous improvement in analytics practice.

QUALIFICATIONS

Education & Experience

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.

• Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery.

• Demonstrated success in developing and implementing data-driven solutions with measurable business impact.

• Experience in retail, customer analytics, or digital transformation environments is preferred.

Technical Skills

• Proficiency in Python, SQL, and PySpark for data analysis and model development.

• Solid understanding of machine learning, AI, and statistical modeling frameworks.

• Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git).

• Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar.