Careem is hiring a

Data Scientist

Dubai, United Arab Emirates

Do you want to help build a world-class institution from the region, experience the thrill of being part of a high-growth technology company, and improve people’s lives?

There is only one way to build an awesome institution: to attract exceptionally talented people who are aligned with the mission of the organisation and make them partners in success. At Careem, our mission is to simplify the lives of people, initially through solutions that make transportation in the region reliable, and over time, through disruptions in payments and logistics. In the process, we want to build an organisation that inspires and become a world-class institution from the region.

We have had a phenomenal start. Founded in 2012 by former entrepreneurs and McKinsey alums, Careem is an innovative transportation service operational in 19 cities from Morocco to Pakistan. With 30% monthly growth, we are one of the fastest growing companies in the region. Our recipe for success has been a team that thrives on challenges, is passionate about solving problems, is not afraid to work super hard, and is a true partner in the company through generous stock option grants. We have attracted strong regional and international investors and are positioned on the cusp of significant scale. Read more about us in the New York Times or Arabian Business.

ABOUT THE ROLE

The purpose of the Data Scientist role is to improve and optimise the customer and Captain (driver) experience using data analysis and system/algorithm development. This is a role that requires deep mathematical and/or statistical knowledge in combination with a good business understanding. In addition of being a member of the data science team you will also work closely with tech, product and operations teams to deliver key insights that will drive changes across the organisation. Key responsibilities include:

  • Driving initiatives to understanding of captain behaviour, using insights to implement algorithms and models to optimise ETAs (low and accurate), as well as for captain utilisation and efficiency
  • Driving initiatives to understand and model customer behaviour using insights to implement algorithms and models to optimise customer experience i.e ensuring reliability (being there on time) and efficiency (minimal waiting time)
  • Drive and implement hypotheses to make visions become reality