Job description

The Senior / Staff Data Scientist – Recommendations & Personalization Systems is responsible for leading the design, training, deployment, and optimization of large-scale recommendation and personalization models that power product discovery for millions of users and thousands of merchants across the GCC. The role focuses on deep learning, sequence models (Transformers, GRU), boosted trees (XGBoost, LightGBM), and multi-task learning to simultaneously optimize engagement, conversion, and merchant outcomes. The data scientist develops scalable retrieval and ranking systems using ANN search techniques such as FAISS and ScaNN, leveraging vector embeddings from user, product, and event data. The role involves collaboration with infrastructure teams to productionize real-time feature pipelines using ClickHouse, Kafka, and Spark, integrating model outputs with platform APIs to provide dynamic personalization across search, home feeds, and store pages. Responsibilities include running A/B tests, applying causal inference, uplift modeling, monitoring models in production, and mentoring junior data scientists while defining best practices for offline evaluation metrics (MAP@K, NDCG) and online metrics (CTR, CVR, GMV uplift). The position demands proficiency in large-scale ML pipelines, cloud/containerized deployments, and advanced analytics applied to e-commerce personalization systems.