Data Scientist

About the Project

We are seeking a brilliant and innovative Data Scientist to join the team building "a Stealth Prop-tech Startup," a groundbreaking digital real estate platform in Dubai. This is a complex initiative to build a comprehensive ecosystem integrating long-term sales, short-term stays, and advanced technologies including AI/ML, data analytics, Web3/blockchain, and conversational AI. You will be at the heart of our intelligence engine, transforming vast datasets into the predictive models and insights that will define our competitive edge.

This is a pivotal role in a high-impact project, offering the chance to work on challenging problems in the PropTech space and see your models directly influence the user experience and business strategy.

Job Summary

As a Data Scientist, you will be responsible for designing, developing, and deploying the machine learning models that power the platform's most innovative features. You will work on everything from creating a proprietary property valuation model ("TruValue UAE") to building a sophisticated recommendation engine and forecasting market trends. You will collaborate closely with backend engineers, product managers, and business stakeholders to leverage our unique data assets, driving personalization, market intelligence, and strategic decision-making across the platform.

Key Responsibilities

• Design, train, and deploy machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values.
• Develop and implement a personalization and recommendation engine to suggest relevant properties to users based on their behavior and preferences.
• Analyze large, complex datasets to identify key business insights, user behavior patterns, and real estate market trends.
• Build predictive models to forecast metrics such as user churn, rental yield, and neighborhood demand dynamics.
• Collaborate with the backend engineering team to integrate ML models into the production environment via scalable APIs.
• Work with the product team to define data-driven hypotheses and conduct experiments to improve platform features.
• Communicate complex findings and the results of analyses to non-technical stakeholders through clear visualizations and reports.
• Contribute to the design and development of the big data infrastructure and MLOps pipelines.

Required Skills and Experience

• 3-5+ years of hands-on experience

  as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment.
• A Master’s degree or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
• Expert proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong practical knowledge of various machine learning techniques, including regression, classification, clustering, and recommendation systems.
• Advanced SQL skills and experience working with relational databases (e.g., PostgreSQL).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

Preferred Qualifications

• Experience in the

  PropTech (Property Technology)

  or

  FinTech

  sectors is highly desirable.
• Direct experience building Automated Valuation Models (AVMs) or similar price prediction models.
• Experience working with cloud-based data platforms and ML services (e.g., AWS SageMaker, Google AI Platform, BigQuery, Redshift).
• Familiarity with MLOps principles and tools for model deployment and monitoring.
• Experience with time-series analysis and forecasting.
• Experience with Natural Language Processing (NLP) techniques.