Principal Data Scientist
Senior individual-contributor data scientist serving as the technical authority for analytics within Wasl's Property Management department in Dubai — designing and deploying machine learning, AI, and predictive models with Python, R, and SQL, setting modeling standards, and mentoring data scientists without formal line management.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or related discipline
- 7-10 years of data science and advanced analytics experience, including 3-5 years in senior technical leadership
- Track record in applied machine learning, predictive analytics, statistical modelling, and production-grade data products
- Experience leading complex data science initiatives across multiple business areas
- Advanced proficiency in Python, R, SQL, or comparable analytical/programming technologies
- Strong understanding of model validation, data quality, scalability, and integrating analytics into business environments
- Strong business acumen translating business problems into analytical solutions and measurable outcomes
- Excellent analytical, problem-solving, stakeholder management, and communication skills
- Experience providing technical leadership, coaching, or mentorship to data science professionals
Nice to have
- Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or related discipline
- Experience in real estate, property management, asset management, pricing optimization, or marketing analytics
- Experience with business intelligence and visualization platforms
- Experience with Agile delivery methodologies and project management tools such as Jira
- Exposure to cloud analytics, machine learning platforms, MLOps, or generative AI solutions
Full description
JOB DETAILSPosition Title: Principal Data Scientist
Reports to: Head – PM Strategy Hub
Department: Property Management
POSITION SUMMARY
The Principal Data Scientist serves as the technical authority for advanced analytics and data science within Property Management, leading the design and deployment of machine learning, AI, and predictive analytics solutions that deliver measurable business value. The role translates strategic business priorities into scalable data products, establishes robust analytical practices, and provides technical leadership and mentorship to data science practitioners across key initiatives.
JOB DIMENSIONSNumber of Staff SupervisedDirect Reports: 0
Total Reports: 0
KEY RESPONSIBILITIES AND PERFORMANCE STANDARDSKey Accountabilities
- Lead the design, development, validation, and deployment of advanced machine learning, AI, statistical, and predictive analytics solutions.
- Develop scalable data products that address Property Management priorities and support operational and strategic decision-making.
- Translate complex business requirements into analytical frameworks, models, and measurable data science solutions.
- Establish technical standards for model development, validation, coding, documentation, and analytical quality.
- Analyze large and complex datasets to identify patterns, trends, risks, opportunities, and business drivers.
- Integrate analytical models and data products into business processes and existing technology environments.
- Develop reusable, modular, and production-grade analytical code to support scalability and long-term maintainability.
- Translate analytical outputs into clear business insights and recommendations for senior stakeholders.
- Define and monitor KPIs to measure the performance, adoption, and business impact of data products.
- Implement appropriate data and model quality controls to ensure accuracy, reliability, and consistency of analytical outputs.
- Partner with IT, business teams, and other stakeholders to ensure effective deployment and adoption of analytics solutions.
- Champion appropriate data governance, security, privacy, and regulatory requirements in collaboration with IT, Legal, and Compliance.
- Provide technical guidance and mentorship to data scientists and analytics professionals without formal people-management responsibility.
- Evaluate emerging AI, machine learning, and analytics technologies and recommend opportunities for practical application within Property Management.