Remote Senior Data Scientist - Recommendation Systems Pod

Description:

• Lead the design and execution of large-scale personalization models for product discovery.
• Shape the next generation of commerce AI in a high-growth market across the GCC.

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• 4+ years of hands-on ML experience, including 2+ years in large-scale recommendation systems.
• Proven track record of systems serving 1M+ users or generating 100M+ personalized predictions daily.
• Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning.
• Experience integrating multi-stage ranking systems with measurable online lift (CVR, GMV).
• Proficient with large-scale data ecosystems: Kafka, Spark, ClickHouse, BigQuery, or equivalent.
• Strong command of experimentation rigor and model monitoring.
• Skilled in debugging, optimization, and productionization of ML pipelines in cloud or containerized environments.

Benefits:

• Opportunity to impact product discovery for millions of shoppers and thousands of merchants.
• Work in a dynamic and diverse market with a focus on innovative AI solutions.