Senior Data Scientist II for Personalization at Careem in Dubai, United Arab Emirates

Careem is hiring a Senior Data Scientist II for its Personalization team in Dubai, the group that determines what each user sees in the app, in what order, and why. The position is currently listed on the company's official job board.

The roleSenior Data Scientist II within the Personalization team under Careem's Data Science division, based in Dubai, United Arab Emirates. Operating since 2012 across more than 70 cities in ten countries from Morocco to Pakistan, Careem reports that it has enabled income for over 2.5 million captains and served more than 70 million customers.

Core challengeBuilding a single real-time personalization layer across three verticals simultaneously: Food, Quik delivery, and Shops. The system must learn user behavior in one vertical and transfer that signal across the others, rather than rebuilding personalization from scratch in each business line. The mandate includes leading the company's work in graph-based retrieval, designing and evaluating Transformer architectures for sequential and contextual recommendations, moving toward streaming learning systems that adapt within a single session rather than relying on daily batch training, and deploying retrieval-augmented generation (RAG) and large language model applications across the ranking and filtering ecosystem.

Key requirements

• Six to eight years of experience in data mining, predictive modeling, time-series analysis, machine learning, and big data methodologies.
• Two to four years of industry experience in personalization, recommendation, or search, an explicit requirement from the company, preferably at a large-scale product company.
• An advanced degree in a quantitative field such as physics, statistics, mathematics, engineering, or computer science.
• Solid deep learning experience covering attention mechanisms, retrieval models, and Transformer architectures applied to ranking and recommendation problems.
• Proficiency in Python, SQL, Spark, and Hive, along with knowledge of A/B testing methodologies, database technologies, and visual analytics tools.

Careem notes that experience with knowledge graphs, graph neural networks, or graph-based retrieval systems is a strong advantage, as the company is actively moving in that direction, alongside an interest in streaming learning systems and geospatial data processing.

CompensationNot disclosed in the official listing. The company lists a benefits package that includes remote work from any country for thirty days a year, unlimited paid time off, health insurance, and a wellness stipend.

Next stepThe hard requirement here is not deep learning in general, but at least two years of industry work in recommendation, search, or personalization. Review your resume before applying, and if your machine learning background is broad, highlight any project where you built a ranking or filtering system deployed to live users, noting the metric moved and the A/B test results that validated it.

Apply https://job-boards.greenhouse.io/careem/jobs/8620289002