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Data Scientist - Job Opportunity at Shangri-La Hotels

Hong Kong, HK
Full-time
Mid-level
Posted: July 7, 2025
On-site
USD 65,000 - 85,000 per year based on Hong Kong market rates for mid-level data scientists in the hospitality sector, with potential for performance bonuses and benefits typical of luxury hospitality employers

Benefits

Access to industry-leading colleague engagement programs that enhance professional satisfaction and career development opportunities
Unparalleled learning and development investment program positioning employees at the forefront of hospitality industry skills advancement
Global career mobility across 100+ hotels and resorts in key cities and beachfront locations worldwide
Best-in-class leadership development programs designed to identify and nurture potential throughout career progression
Association with a globally recognized luxury hospitality brand enhancing professional reputation and network

Key Responsibilities

Drive strategic data-driven decision making for global portfolio operations impacting customer experience enhancement and operational efficiency across 100+ properties
Develop and implement custom data models and algorithms that directly influence commercial performance and strategic business initiatives across multiple markets
Execute predictive modeling initiatives to optimize revenue generation, customer experiences, and advertisement targeting with measurable business impact
Establish and maintain critical data monitoring processes and tools ensuring accuracy and performance of business-critical models
Evaluate and integrate new data sources and gathering techniques to enhance competitive advantage and operational insights
Lead cross-functional collaboration with multiple business units to implement data solutions and monitor strategic outcomes

Requirements

Education

Undergraduate degree in Statistics, Mathematics, Computer Science, Business Analytics, Information Technology, or related disciplines

Experience

Experience creating and using advanced machine learning algorithms, statistical modelling

Required Skills

Coding knowledge and experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience creating and using advanced machine learning algorithms, statistical modelling: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Good understanding of real-world applications and limitations of advanced statistical techniques and machine learning techniques Experience using business intelligence platforms (eg. Tableau, PowerBI) to visualize, explore and share data Experience analysing data from 3rd party providers: Google Analytics, Adwords, Facebook Insights, etc. A drive to learn and master new technologies and techniques Strong problem-solving skills with an emphasis on product development Self-motivated, adaptable in a fast paced environment and with a strong sense of ownership Able to initiate and drive projects to completion with minimal guidance Excellent written and verbal communication skills for coordinating across teams
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Sauge AI Market Intelligence

Industry Trends

The hospitality industry is experiencing a significant digital transformation acceleration, with luxury hotels increasingly investing in data analytics to personalize guest experiences and optimize revenue management. This shift has created substantial demand for data scientists who can bridge the gap between traditional hospitality service excellence and modern data-driven operational strategies. Asian luxury hospitality markets are leading the adoption of predictive analytics for customer journey optimization, driven by the tech-savvy expectations of Asian travelers and the region's advanced digital infrastructure. Data scientists in this sector are becoming crucial for maintaining competitive advantage in markets where guest expectations for personalized service are exceptionally high. The integration of third-party data sources like Google Analytics and social media insights has become essential for luxury hospitality brands to understand customer behavior across multiple touchpoints. This trend is creating opportunities for data scientists who can synthesize complex data streams into actionable business intelligence for marketing, operations, and strategic planning.

Role Significance

Likely working within a small but growing analytics team of 3-5 professionals, with potential to lead junior analysts while reporting to senior leadership or a Chief Data Officer. The role suggests building data science capabilities within the organization rather than joining an established large team.
This role represents a strategic mid-level position with significant cross-functional influence, requiring the data scientist to work independently while coordinating with multiple business units. The emphasis on driving global portfolio decisions and developing custom solutions indicates substantial responsibility for business outcomes rather than purely technical execution.

Key Projects

Development of predictive models for dynamic pricing optimization across global property portfolio Implementation of customer segmentation algorithms for personalized marketing campaigns Creation of operational efficiency dashboards for property management teams Integration of multi-source data platforms for comprehensive guest journey analytics

Success Factors

Ability to translate complex analytical insights into actionable business recommendations that non-technical stakeholders can understand and implement effectively across diverse cultural and operational contexts Strong project management capabilities to drive data initiatives from conception through implementation while coordinating with multiple international teams and ensuring alignment with business objectives Cultural sensitivity and adaptability to work effectively within an Asian-heritage luxury hospitality environment while supporting global operations across diverse markets and regulatory frameworks Continuous learning mindset to stay current with evolving data science techniques while understanding the unique challenges and opportunities within the luxury hospitality industry

Market Demand

High demand driven by digital transformation initiatives across the luxury hospitality sector and the critical need for data-driven decision making in post-pandemic recovery strategies

Important Skills

Critical Skills

Python and R programming skills are essential for data manipulation and model development in the hospitality industry's increasingly complex data ecosystem. These languages provide the flexibility needed to handle diverse data sources from property management systems, customer relationship platforms, and third-party analytics providers. Machine learning algorithm expertise is crucial for developing predictive models that can handle the seasonal variations, cultural preferences, and complex booking patterns characteristic of luxury hospitality markets. Understanding both the technical implementation and business limitations of these techniques is vital for success. Business intelligence platform proficiency, particularly with Tableau and PowerBI, is critical for communicating insights to non-technical stakeholders across multiple business units and cultural contexts. The ability to create compelling visualizations that drive decision-making is essential in the hospitality industry where operational decisions must be made quickly.

Beneficial Skills

Experience with cloud-based analytics platforms would be valuable given the global nature of operations and the need for scalable data processing solutions Knowledge of hospitality-specific metrics and KPIs would accelerate the learning curve and enhance the ability to provide immediately actionable insights Understanding of digital marketing analytics and customer journey mapping would complement the third-party data analysis requirements and support revenue optimization initiatives

Unique Aspects

Opportunity to work with luxury hospitality data combining traditional service metrics with modern digital analytics, providing unique insights into high-value customer behavior and premium service delivery optimization
Access to global hospitality market data across diverse cultural contexts and regulatory environments, offering exposure to international business operations and cross-cultural analytics challenges
Integration of Asian hospitality traditions with cutting-edge data science techniques, creating opportunities to develop innovative approaches to customer experience personalization in luxury travel contexts
Potential to influence strategic decisions for a rapidly expanding global portfolio, providing visibility into international business development and market entry strategies

Career Growth

Typical progression to senior roles within 2-3 years given the strategic nature of the position and the growing importance of data science in luxury hospitality

Potential Next Roles

Senior Data Scientist with expanded responsibilities for model architecture and team leadership Data Science Manager overseeing analytics initiatives across multiple business units Business Intelligence Director responsible for enterprise-wide data strategy Chief Data Officer for hospitality or travel industry organizations

Company Overview

Shangri-La Hotels

Shangri-La Hotels represents one of Asia's most prestigious luxury hospitality brands with over 45 years of industry experience and a strong heritage in Asian hospitality excellence. The company's position as a global leader with 100+ properties and aggressive expansion plans indicates a well-established organization with significant resources and strategic ambitions.

As a recognized leader in luxury hospitality with strong Asian heritage, Shangri-La competes directly with international luxury brands while maintaining distinctive cultural positioning. The company's focus on Asian travelers and global expansion strategy positions it as a bridge between Eastern and Western hospitality markets.
Hong Kong headquarters location provides strategic access to the rapidly growing Asian luxury travel market while serving as a gateway for global expansion initiatives. This positioning offers exposure to both established and emerging markets in the region.
The emphasis on colleague engagement, learning and development, and 'hospitality from the heart' suggests a people-focused culture that values service excellence and professional growth. The luxury hospitality environment typically demands high standards while providing opportunities for international exposure and cultural diversity.
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