Head of Data Science - Property Finder

Talent Pal

Dubai

AED 200,000 - 400,000

Job description

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 home seekers, 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 home seekers in the region, we are on a mission to motivate and inspire people to live the life they deserve.

The Position

Position Title

Head of Data Science

Reports To

VP Data and AI

Position Summary

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.

Key Responsibilities

Build and lead a team of Data Scientists to deliver cutting-edge offline 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 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 prioritize features and functionality based on the resources available and business priorities.

The Person

Desired Qualifications

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.

Our promise to talent

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

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.