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. Property Finder’s most recent valuation secures our status among the Middle East’s emerging unicorns, affirming a growth-oriented identity.
Over the years, we’ve expanded our operations to Bahrain, Egypt, Qatar, Saudi Arabia, and secured a strategic shareholding in Hepsiemlak, the leading property portal in Turkey. With over 600+ dedicated people in 5 regional offices, we facilitate more than 14 million monthly visits across our platforms, solidifying our position as a regional powerhouse in the proptech space.
As the pioneering portal for homeseekers in the region, we are on a mission to motivate and inspire people to live the life they deserve.

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 MLE 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.
• Integration of AI systems into enterprise platforms and workflows.
• Experience with API development and connecting AI systems to external platforms.
• Experience in architecting 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 transfer learning and prompt engineering for LLMs.
• Proficient in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
• Experience with version control systems (e.g., Git) and basic CI/CD workflows.
• Experience with containerization tools like Docker.
• Strategic mindset with the ability to translate business goals into data-driven initiatives.
• Good to Have:
• Advanced analytics and visualization skills with tools like Tableau or Power BI.
• Developing applications using generative models for personalized recommendations, content creation, or automation.
• Foundational understanding of ML pipelines and deployment processes.

Cross-Team Collaboration:

• Partner with the MLE/MLOps team to optimize model deployment and operational workflows.
• Work closely with the Strategy, BI, Engineering, and Product teams to align on project objectives and ensure smooth deployment of solutions.

ABOUT THE ROLE

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.
• 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 on project objectives and ensure smooth deployment of solutions.