Data Scientist Senior Manager

The client is looking for a Data Scientist Senior Manager to work Full-Time in Dubai, UAE.

Responsibilities: 

Data Strategy & Infrastructure:

• Collaborate with IT and technology teams to enhance data pipelines, governance, and infrastructure for advanced analytics tools, initially focusing on revenue management.
• Design and oversee the development of revenue management tools and data infrastructure, managing multiple solution providers.
• Define and enforce data standards, quality measures, and reporting consistency across the commercial organization.
• Identify and integrate new data streams to improve the accuracy and efficiency of algorithms and models.
• Ensure the quality, integrity, and accessibility of key data sources to support business decision-making.
• Promote a data-driven culture across all business units by aligning analytics with strategic and operational goals.
• Act as a thought leader on emerging data science trends, tools, and applications within the travel, hospitality, and leisure sectors.
• Build and lead a high-performing data science team (from year two onward).

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 automation and real-time analytics.
• Develop and deploy algorithms to optimize channel mix, distribution strategy, and profitability.
• Build recommendation engines for upselling, cross-selling, and dynamic product packaging.
• Drive the adoption of analytical tools by ensuring users understand their functionality and business logic.
• Gather user feedback to guide continuous improvement and prioritize future tool enhancements.

What Makes You a Great Fit:

Education & Functional Competencies:

• 3–5 years of experience in data science, advanced analytics, or quantitative consulting.
• Strong expertise in big data platforms, predictive modeling, and data engineering.
• Proven ability to drive measurable commercial and operational impact through data science initiatives.
• Experience in revenue management or demand forecasting is an advantage.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related quantitative discipline.

Key Competencies & Personality:

• Strong analytical and quantitative reasoning skills.
• Proficiency in building and deploying analytical models using modern data tools and programming techniques.
• Excellent communication skills with the ability to explain complex models to non-technical audiences.
• Skilled in handling large and complex datasets to generate actionable insights.
• Familiarity with modern data science methodologies for automation, modeling, and visualization.

Technical Skills:

• Programming: Python, SQL.
• Cloud / Data Engineering: AWS (S3), Azure, Databricks.
• Visualization / BI Tools: Power BI, Tableau.