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.

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.

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.

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 creators to move fast, be bold, and make a significant impact.

Our promise to talent

We encourage our people, called creators, to move fast, to be bold and offer them countless ways to make an impact in a fast-growing and talent-centric organisation. 

Our goal is to ensure that our people find their time at Property Finder a rewarding experience where the company’s growth also means personal growth.

Overall it is a place for you to be your best self. 

Property Finder Guiding Principles

1. Think Future First
2. Data Beats Opinions, Speed Beats Perfection
3. Optimise for Impact
4. No Ostriches Allowed
5. Our People, Our Power
6. The Biggest Risk is Taking no Risk at All

Find us at:

Twitter

Facebook

Instagram

Linkedin

Glassdoor