Head of Data Science

3 months ago


Dubai, United Arab Emirates Precision Hire Solution Full time

Founded by MichaelLahyani in 2005 as a magazine (Al Bab World) Property Finder todayis a single technology platform and brand across multiple countriesin the MENA region. We offer the most advanced tools andbestinclass user experience for homeseekers real estate brokers anddevelopers. Property Finders most recent valuation secures ourstatus among the Middle Easts emerging unicorns affirming agrowthoriented identity.

Over the years weveexpanded our operations to Bahrain Egypt Qatar Saudi Arabia andsecured a strategic shareholding in Hepsiemlak the leading propertyportal in Turkey. With over 600 dedicated people in 6 regionaloffices we facilitate more than 14 million monthly visits acrossour platforms solidifying our position as a regional powerhouse inthe proptech space.

As the pioneering portal forhomeseekers in the region we are on a mission to motivate andinspire people to live the life theydeserve.

ThePosition


PositionTitle


Headof DataScience


ReportsTo


VPData andAI


PositionSummary


Asthe Head of Data Science you will be a handson data science leaderyou will support the VP of Data & AI in developing andimplementing the Data Science and AI strategy for Property Finder.You will work crossfunctionally with the Product Development teamand other departments to design and deploy Data Products thatsupport our users andcustomers.


KeyResponsibilities


  • Buildand lead a team of Data Scientists to deliver cutting edge offlineand real time machine learning solutions and datapipelines
  • Build Data Science ML advanced modelsand deploy them at scale
  • Partnercrossfunctionally with Product Leadership and Core Engineeringteams to develop and track detailed schedules dependencies andcritical paths
  • Effectively collaborate with allproject stakeholders i.e. Product Management Engineering TeamMarketing and other functions
  • Encourage anddrive initiatives which promote innovation and technicalexcellence
  • Hire retain and develop the theengineers on your team
  • Coach and motivate yourteam to ensure high productivity and teamwork and help eachindividual achieve their potential
  • Interfacewith other internal teams to prioritise features and functionalitybased on the resources available and businesspriorities



ThePerson


DesiredQualifications


  • Minimum7 years experience in data science and/or machinelearning
  • Minimum 3 years experience handsonpeople management of high performing engineers scientists and/orengineering managers
  • Strong experience in datamanagement including building and scaling data lake managementsystems and data pipelines
  • Strong experience indata curation and ethical sourcing of data with knowledge of dataprivacy regulations
  • Strong experience inproduct management with a track record of delivering successfulproducts and features in the AI/ML space
  • Strongexperience in building AI architectures and deploying scalable AImodels
  • A Bachelors or Masters degree in DataScience Computer Science or a related field or equivalent industryexperience.
  • Strong analytical andproblemsolving skills with the ability to think strategically andmake datadriven decisions
  • Experience with agiledevelopment methodologies and best practices for softwaredevelopment
  • Experience communicating highlytechnical concepts to a nontechnicalaudience
  • Experience in the marketplace industryor an interest in the marketplacespace

Ourpromise to talent

We encourage ourpeople called creators to move fast to be bold and offer themcountless ways to make an impact in a fastgrowing and talentcentricorganisation.

Our goal is to ensure that ourpeople find their time at Property Finder a rewarding experiencewhere the companys growth also means personalgrowth.

Overall it is a place for you tobe your bestself.


PropertyFinder Principles

  • Move fastand make things happen
  • Data beatsopinions
  • Dont confuse motion withprogress
  • Failure is success if we learn fromit
  • People overpixels

Thisjob has been sourced from an external job board.
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