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
What You'll Do:
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).
- Utilize multimodal architectures (CLIP, ViT + BERT) for imagetext 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 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.
Who They Are:
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.
What Is In It For You:
- Medical Health Insurance
- Performance Bonus
- Additional perks and growth opportunities
- 35k SAR
Who You Are:
- 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
