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Senior Data Scientist

Property Finder Dubai, United Arab Emirates Posted: 02 Jul 2025

Financial

  • Estimate: $90k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. Founded in 2007, Property Finder connects millions of property seekers with thousands of real estate professionals daily, empowering them to make informed decisions.

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 have a strong research background (preferably a PhD) and practical understanding of Machine Learning Engineering principles. 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.
  • Leverage expertise in AI optimization and reinforcement learning to enhance model performance.
  • 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 to align project objectives and ensure smooth deployment of solutions.

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 and foundational exposure to Machine Learning Engineering practices.
  • Technical Skills:
    • Proficiency in advanced predictive modeling, scenario analysis, and statistical methodologies.
    • Expertise in Python or R and libraries like TensorFlow, PyTorch, Scikit-learn.
    • Experience in architecting scalable data solutions and integrating AI systems into enterprise platforms.
    • Working knowledge in deep learning techniques, including CNNs, RNNs, transformers, and reinforcement learning.
    • Experience with version control systems (e.g., Git) and basic CI/CD workflows, as well as containerization tools like Docker.
  • Good to Have: Advanced analytics and visualization skills with tools like Tableau or Power BI.

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.
  • Engage in a workplace that values advanced research, strategic thinking, and impactful execution.
  • Be part of an innovative culture that encourages creators to move fast, be bold, and make a significant impact.

Language Requirements: Not explicitly mentioned.

Property Finder is committed to fostering an environment where talent can thrive and make a real impact in the region.

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.