Data Science Manager (Analytics) - Geylang

LOVE WHAT YOU DO? THERE IS A PLACE FOR YOU HERE!

Be part of our diverse and inclusive team.

Job Responsibilities

The team is tasked with developing creative approaches to data sourcing, deriving new variables and factoring in qualitative insights to deliver high-impact business solutions.

Key areas of focus, include:

• Conduct exploratory data analysis and hypothesis testing to uncover hidden patterns and trends in customer behavior.
• Lead the development of advanced data visualizations and dashboards to communicate insights and drive data-driven decision-making.
• Leverage customer data and analytics to acquire, develop, and retain high-value customers more profitably and effectively.
• Develop a robust behavioral and needs-based segmentation to create more relevant, actionable, and personalized campaigns, offers, and engagements.
• Closely monitor product and area performance, operational and manpower efficiency.
• Develop and implement predictive models and machine learning algorithms to optimize customer acquisition, retention, and engagement strategies.
• Analyze customer data from various touchpoints to provide actionable insights.
• Utilize big data technologies and cloud platforms to manage and analyze large datasets, ensuring data quality and integrity.
• Collaborate with cross-functional teams to integrate data science solutions into business processes and decision-making frameworks.
• Lead a team of high performing analysts to deliver excellent results.

Job Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, or related field
• Advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics or a related field is preferred.

• At least 5 years of hands-on experience in analytics and experience leading an analytics team will be an added advantage.
• Experience with CRM systems and data visualization tools like Tableau, Power BI.
• Proven experience in deploying machine learning models in production environments and monitoring their performance.
• Experience in big data technologies such as Hadoop, Spark, and cloud platforms like AWS, Azure, or Google Cloud.

• Strong proficiency in programming languages such as Python, R, and SQL, with experience in using libraries like TensorFlow, PyTorch, and scikit-learn.
• Excellent problem-solving skills and the ability to work with complex datasets to derive actionable insights.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore. Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.