https://bayt.page.link/2QLvqqmsSU5F8bjYA
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الوصف الوظيفي

Property Finder is the leading property portal in the Middle East, North Africa and Turkey (MENAT) region.  The platform offers a host of products and services tailored to make the home search process transparent for millions who visit the portal while creating value for the partners who advertise on the platform.


Over the years, we've expanded our operations to Qatar, Bahrain, Saudi Arabia, Turkey, and Egypt, solidifying our position as a regional powerhouse in the proptech space. With over 500+ dedicated people in 6 regional offices, we facilitate more than 14 million monthly visits across our platforms. We have become the go-to destination for consumers in search of their next home.




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, 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

Find us at:


Twitter


Facebook


Instagram


Linkedin


Glassdoor



 



تفاصيل الوظيفة

منطقة الوظيفة
دبي الإمارات العربية المتحدة
قطاع الشركة
خدمات الدعم التجاري الأخرى
طبيعة عمل الشركة
غير محدد
نوع التوظيف
غير محدد
الراتب الشهري
غير محدد
عدد الوظائف الشاغرة
غير محدد

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