Data Scientist Jobs

Title: Lead Data Scientist – Integrity & Safety

Tech Stack: Python, SQL, PyTorch, Transformers, Scikit-learn, OpenCV, NLP, Multimodal (CLIP/ViT + BERT), Graph Learning, Kafka/Redis Streams

As the Senior Data Scientist for Integrity & Trust, you will protect millions of buyers and sellers by building AI-driven defense systems that detect fraud, remove counterfeit products, and maintain platform quality. Your work directly impacts trust and growth in a high-COD environment, ensuring the platform remains secure and reliable.

You will:

• Build and deploy supervised and unsupervised ML models for policy violation, counterfeit, and fraud detection.
• Lead and grow the Integrity, Safety & Trust pod, mentoring applied data scientists and delivering end-to-end projects with measurable business outcomes.
• Design feature pipelines leveraging product text, images, seller behavior, and transaction data.
• Apply NLP models for text classification, entity extraction, and multilingual moderation (Arabic + English).
• 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 real-time monitoring for detection and escalation (Elastic, Grafana).
• Optimize model precision/recall tradeoffs balancing enforcement and user experience.
• Work with graph learning, anomaly detection, and multimodal data pipelines.

You’ll be joining a high-growth e-commerce platform focused on marketplace trust and safety. The team operates in a complex, fast-paced environment where your AI solutions will directly impact millions of users. This is a chance to lead a critical function, scale a data science team, and implement cutting-edge AI techniques to ensure platform integrity.

• Medical Health Insurance
• Performance Bonus
• Additional perks and growth opportunities
• 35k SAR

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 5+ years of applied ML experience, with 2+ years in Trust & Safety, Integrity, or Fraud Detection systems
• Experience with multimodal text-image modeling (OCR, CLIP/ViT, layout analysis), taxonomy/attribute extraction, policy classification, and Arabic/English content moderation
• Strong Python, SQL, and ML library skills (PyTorch, Transformers, Scikit-learn, 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/low-quality detection is a plus
• Proven ability to build and grow applied data science teams and deliver measurable business outcomes
• Excellent analytical reasoning, communication, and cross-functional collaboration skills, with a strong ability to balance enforcement precision with business impact