Senior Data Scientist - Recommendation Systems Pod
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About the Role
Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East. As a Senior Data Scientist for the.
Key Skills for This Role
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Overview
Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East.
As a Senior Data Scientist for the Recommendation Systems Pod, you'll lead the design and execution of large-scale personalization models that directly impact the company topline.
This is a rare opportunity to shape the next generation of commerce AI in a high-growth market characterized by highly diverse user and merchant behaviors across the GCC.
Responsibilities
- Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM).
- Develop multi-objective ranking that blends engagement, conversion, and merchant value into a single ranking score (value model), using multi-task learning where shared representations help.
- Build scalable two-stage retrieval and ranking systems ANN retrieval (FAISS, ScaNN) over user/product/event embeddings feeding learning-to-rank models (pointwise, pairwise, and listwise objectives).
- Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark).
- Define serving-time impression and feature logging to eliminate training-serving skew and produce unbiased training data.
- Design and run online experiments with rigorous guardrail metrics; correct for position and presentation bias in logged data; apply counterfactual/off-policy evaluation and uplift modeling to attribute lift accurately.
- Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages.
- Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift).
- Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies.
- Mentor junior data scientists and define best practices.
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