Lead Data Scientist - Integrity & Safety

Protect millions of buyers and sellers as our Senior Data Scientist for Integrity & Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.

Responsibilities

• Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection.
• Build and grow the Integrity, Safety & Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes.
• Design feature pipelines that leverage product text, images, seller behavior, and transaction data.
• Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English).
• Utilize multimodal architectures (CLIP, ViT + BERT) for image–text cross-validation.
• Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity.
• Collaborate with product, legal, and operations teams to define integrity policies and feedback loops.
• Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana).
• Optimize model precision / recall tradeoffs based on enforcement and user experience goals.
• Familiarity with graph learning, anomaly detection, and multimodal data pipelines.

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