About the job
At Careem, we're on a mission to revolutionize the entire Middle East with our Everything App. Our platform simplifies transportation, food delivery, grocery shopping, digital payments, and much more, all aimed at enhancing people's lives and fostering a vibrant organizational culture.
Since our inception in 2012, we have empowered over 2.5 million Captains and served more than 70 million customers, creating a thriving ecosystem across 70+ cities in 10 countries, from Morocco to Pakistan.
We are embarking on an exciting new chapter driven by artificial intelligence. We seek innovative AI professionals who are eager to tackle challenges and develop solutions that optimize workflows, enhance user experiences, and drive significant impact. Whether it's improving operational efficiency or transforming internal systems, we want visionaries who can help Careem operate smarter and move faster.
About the Team
The Data Science team at Careem is dedicated to leveraging data at scale to create competitive advantages. Our goal is to design AI models that optimize user experiences, improve decision-making, and enhance operational efficiency while leading the AI landscape in the region. As a key member of this team, you will lead top-tier data science talent, applying cutting-edge machine learning, optimization, deep learning, and reinforcement learning techniques on our proprietary AI platform, delivering real-time solutions to users.
Key Responsibilities
- Develop a comprehensive vision for reinventing our customer acquisition and engagement strategies through data-driven decision-making.
- Conduct exploratory analyses to gain insights into the ecosystem and user behavior, identifying new opportunities to influence key metrics and enhance product offerings.
- Shape and refine data and machine learning models to optimize product experiences while uncovering new areas of potential growth and innovation.
- Provide product leadership by delivering data-backed recommendations that illuminate business performance and address root causes of challenges.

