Senior Data Science Integrity📣 إعلان

منذ ساعتين تقريبا

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	جدة

وصف الوظيفة

About the Senior Data Science - Integrity Role

Salla is seeking a Senior Data Scientist to join the Integrity & Trust team in Jeddah, Makkah Province. This full-time position focuses on developing AI-driven systems to protect millions of buyers and sellers by detecting fraud, counterfeit products, and maintaining marketplace quality. In the high-COD (Cash on Delivery) environment of MENA, where trust is paramount, your work will directly impact platform growth and reputation.

Core Responsibilities

Build and deploy supervised and unsupervised machine learning models for policy violation, counterfeit, and fraud detection.
Contribute to the growth of the Integrity, Safety & Trust pod, mentor applied data scientists, and deliver projects with measurable business outcomes.
Design feature pipelines utilizing product text, images, seller behavior, and transaction data.
Apply Natural Language Processing (NLP) models for text classification, entity extraction, and multi-lingual moderation (Arabic and 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 systems for real-time detection and escalation using tools like Elastic and Grafana.
Optimize model precision and recall trade-offs based on enforcement and user experience objectives.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
A minimum of 5 years of experience in applied machine learning, with at least 2 years focused on Trust & Safety, Integrity, or Fraud Detection systems.
Experience with multi-modal text-image modeling (*, OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation.
Strong proficiency in Python, SQL, and ML libraries including PyTorch, Transformers, Scikit-learn, and OpenCV.
Experience developing streaming or near-real-time detection systems (*, Kafka, Redis Streams).
Familiarity with graph learning, anomaly detection, and multi-modal data pipelines.

Preferred Skills and Experience

Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is considered a plus.

Key Competencies

Candidates should possess excellent analytical reasoning, communication, and cross-functional collaboration skills. The ability to balance enforcement precision with business impact is essential.