Data Scientist Senior Manager Kempinski Hotel

Data Strategy & Infrastructure

• Collaborate with IT teams to enhance data pipelines, governance, and infrastructure for advanced analytics tools, initially focused on revenue management.
• Design and oversee the development of Revenue Management Tools and data infrastructure, overseeing multiple providers.
• Define and enforce data standards, quality measures and reporting consistency across commercial organization, including the identification of new data streams that would augment the quality of algorithms and modelling.
• Ensure the quality, integrity, and accessibility of key data sources relevant to all Commercial organization, supporting the team in data availability.
• Champion a data-driven culture across all business units, working closely with cross-functional teams (strategy, finance, operations, digital) to align analytics with strategic objectives.
• Serve as an internal thought leader on emerging trends, tools and applications of data science in the travel and leisure sector.
• Build a high-performing data science team (year 2 onwards)

Revenue Management Strategy

• Partner with commercial teams to develop data-driven tools for forecasting, pricing, product mix, inventory and channel optimization.
• Support dynamic pricing and demand management initiatives through data automation and real-time analytics.
• Develop algorithms to enhance channel mix, distribution strategy, and profitability. o Build recommendation engines for upselling, cross-selling, and dynamic packaging.
• Scale up the tools across the organization.
• Contribute to widespread adoption of implemented tools by ensuring proper understanding of functionality and business logics by end users, capturing feedback and enhancement suggestions from user community that can be prioritized and packaged in future releases.