Data Scientist ~ CAFU ~ Dubai, United Arab Emirates

Full Time


About the job

CAFU has a vision to create a better world through connected mobility, serving both consumers and businesses. We started as an on-demand fuel delivery app and have now extended our services to car wash, tyre change, battery change and insurance…but this is only the beginning.

We have global plans to become a super app, offering products & services which are agnostic of fuel and mobility. Cafu is a technology business passionate about sustainability and positively impacting the communities we operate in. We’ve already won awards for best AI platform and voted LinkedIn’s Number 1 Top Start-ups 2021!

If you want to make a real impact to our communities and you are forever curious about how things work and why and want to join a company that moves with purpose and collaborates, then we want to hear from you!

Key Responsibilities

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.


  • 4 years of experience in Data Science
  • Degree in Data Science / Mathematics / Statistics / Computer Science
  • Proficient in writing and executing complex queries in SQL
  • Experience using statistical computer languages (Python / R)
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Excellent analytical skills with strong attention to detail
  • Strong presentation skills to easily communicate complex ideas in a way that is easy to understand
  • Problem solving skills


  • A collaborative environment where diversity is celebrated
  • A flexible workforce
  • A competitive market salary with housing and transport allowances
  • A fast-moving supportive company where everybody takes ownership over their work
  • The opportunity to share in the success of the business with stock options for qualifying employees
  • The opportunity to work on a product with growing global appeal
  • The opportunity to work with some of the most talented people in the industry from well-known digital brands

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