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Senior Data Scientist

Property Finder Dubai, United Arab Emirates Posted: 14 Apr 2025

Financial

  • Estimate: $100k - $150k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Founded by Michael Lahyani in 2005 as a magazine (Al Bab World), Property Finder today is a single technology platform and brand across multiple countries in the MENA region. We offer the most advanced tools and best-in-class user experience for homeseekers, real estate brokers, and developers. With over 600+ dedicated people in 5 regional offices, we facilitate more than 14 million monthly visits across our platforms.

We are looking for a highly experienced Senior Data Scientist with foundational skills in Machine Learning Engineering to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, architecting scalable data solutions, and integrating AI systems into enterprise platforms. A strong research background (preferably a PhD) combined with a practical understanding of MLE principles is essential to excel in this role. This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.

Key Responsibilities:

  • Design and implement complex data models and predictive analytics to drive strategic business decisions.
  • Demonstrate mastery in programming with Python or R, including scripting for automation and data manipulation.
  • Utilize cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) to process and analyze large datasets.
  • Apply advanced knowledge of deep learning and model optimization techniques to develop robust AI solutions.
  • Architect scalable, data-driven solutions that support high-impact decision-making across the organization.
  • Develop and deploy advanced analytics and visualization tools to communicate insights effectively to stakeholders.
  • Collaborate with cross-functional teams, including Strategy, BI, Engineering, and Product.

Qualifications:

  • Education: Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience: At least 5+ years in data science roles with demonstrated leadership experience.
  • Technical Skills:
    • Proficiency in advanced predictive modeling and statistical methodologies.
    • Expertise in Python or R and libraries like TensorFlow, PyTorch, Scikit-learn.
    • Experience with API development, scalable data solutions, and integrating AI systems.
    • Working knowledge in deep learning techniques, including CNNs, RNNs, transformers, and reinforcement learning.
    • Experience in designing, fine-tuning, and deploying Large Language Models (e.g., GPT, BERT, T5).
    • Proficiency in leveraging cloud platforms (AWS, GCP, Azure).
    • Experience with version control systems (e.g., Git) and basic CI/CD workflows, as well as containerization tools like Docker.

Why Join Us?

  • Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
  • Collaborate with top talent across diverse teams and disciplines.
  • Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
  • Engage in a workplace that encourages creativity and significant impact in a fast-growing and talent-centric organization.
Apply now

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About Property Finder

Founded by Michael Lahyani in 2005 as a magazine (Al Bab World), Property Finder today is a single technology platform and brand across multiple countries in the MENA region. We offer the most advanced tools and best-in-class user experience for homeseekers, real estate brokers, and developers.

Benefits at Property Finder

    A chance to work in an environment where creators are empowered to shape their role, be bold, fail fast, and push their potential. The company values diversity, brings together talented individuals from various backgrounds, fosters innovation and collaboration, and prioritizes work-life balance.