Data Scientist

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 6 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 RoleWe are looking for a highly experienced Data Scientist (Level III) with foundational skills in Machine Learning Engineering and MLOps 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 MLOps 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 ResponsibilitiesData Science (Level III):Expertise in designing and implementing complex data models and predictive analytics.Mastery in programming with Python or R, including scripting for automation.Experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop).Advanced knowledge of deep learning and model optimization techniques.Expertise in AI optimization and reinforcement learning.Design and implement advanced predictive models and AI solutions tailored to strategic business needs.Architect scalable, data-driven solutions for high-impact decision-making.Develop and deploy advanced analytics and visualization tools to support business insights.MLE/MLOps (Level I or II):Collaborate with MLE/MLOps engineers to ensure models are optimized for deployment in production environments.Understand and support the deployment of AI/ML models using basic MLOps tools and pipelines.Work with CI/CD processes for automating model workflows and managing version control.Gain foundational experience in model monitoring and lifecycle management.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.QualificationsEducation: Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related field (PhD preferred).Experience: At least 3+ years in data science roles with demonstrated leadership experience and foundational exposure to MLE/MLOps practices.Technical Skills:Working knowledge of advanced predictive modeling, scenario analysis, and statistical methodologies.Proficiency 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.Good experience in architecting scalable data solutions and integrating AI systems.Advanced analytics and visualization skills with tools like Tableau or Power BI.Working kowledge 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).Developing applications using generative models for personalized recommendations, content creation, or automation.Proficiency in transfer learning and prompt engineering for LLMs.Proficient in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.Foundational understanding of ML pipelines and deployment processes.Experience with version control systems (e.g., Git) and basic CI/CD workflows.Familiarity with containerization tools like Docker.Good working knowledge of cloud platforms like AWS, GCP, or Azure.Soft Skills:Effective communication and collaboration skills, particularly in cross-functional environments.Strategic mindset with the ability to translate business goals into data-driven initiatives.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. Our promise to talentWe 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 PrinciplesMove fast and make things happenData beats opinionsDon’t confuse motion with progressFailure is success if we learn from itPeople over pixelsFind us at:TwitterFacebookInstagramLinkedinGlassdoor