Data Science Manager

JOB SUMMARY

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 degree 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

• Proficient in Python, SQL, and PySpark for data analysis, data processing, and machine learning model development.

• Strong understanding of machine learning, AI, and statistical modeling, with hands-on experience in customer analytics, segmentation, recommendation systems, churn modeling, and CLV.

• Experience working with cloud and data platforms, including GCP, BigQuery, AWS, Huawei ModelArts, and OBS, as well as distributed data processing using Spark/PySpark.

• Experience with data visualization and BI tools, particularly Power BI and Looker Studio, for developing dashboards and business insights.

• Familiarity with Git and Airflow for version control, workflow orchestration, and data pipeline/job monitoring.