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 recent valuation at approximately $1 billion, 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 obtained a minority share in Hepsiemlak, the leading property portal in Turkey. With over 590+ 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 This Role
As the Head of Data Science, you will be a hands-on data science leader, you will support the VP of Data & AI in developing and implementing the Data Science and AI strategy for Property Finder. You will work cross-functionally with the Product Development team and other departments to design and deploy Data Products that support our users and customers.
What You’ll Do
- Build and lead a team of Data Scientists to deliver cutting edge off-line and real time machine learning solutions and data pipelines
- Build Data Science, ML advanced models and deploy them at scale
- Partner cross-functionally with Product Leadership and Core Engineering teams to develop and track detailed schedules, dependencies and critical paths
- Effectively collaborate with all project stakeholders i.e. Product Management, Engineering Team, Marketing and other functions
- Encourage and drive initiatives which promote innovation and technical excellence
- Hire, retain, and develop the the engineers on your team
- Coach and motivate your team to ensure high productivity and teamwork, and help each individual achieve their potential
- Interface with other internal teams to prioritise features and functionality based on the resources available and business priorities
Skills & Experience
- Minimum 7 years experience in data science, and/or machine learning
- Minimum 3 years experience hands-on people management of high performing engineers, scientists, and/or engineering managers
- Strong experience in data management, including building and scaling data lake management systems and data pipelines
- Strong experience in data curation and ethical sourcing of data, with knowledge of data privacy regulations
- Strong experience in product management with a track record of delivering successful products and features in the AI/ML space
- Strong experience in building AI architectures and deploying scalable AI models
- A Bachelor's or Master's degree in Data Science, Computer Science, or a related field, or equivalent industry experience.
- Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions
- Experience with agile development methodologies and best practices for software development
- Experience communicating highly technical concepts to a non-technical audience
- Experience in the marketplace industry or an interest in the marketplace space
Property Finder Principles
- Move fast and make things
- Data beats opinions
- Don’t confuse motion with progress
- Failure is success if we learn from it
- People over pixels
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 Principles
- Move fast and make things happen
- Data beats opinions
- Don’t confuse motion with progress
- Failure is success if we learn from it
- People over pixels
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