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
  
  

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 5+ years of experience in applied ML, with at least 2+ years focused on Trust & Safety, Integrity, or Fraud Detection systems
• Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation
• Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV
• Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent)
• Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus
• Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes
• Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact
  
  

Benefits

• Medical Health Insurance
• Performance Bonus
• Others