Hybrid Senior Data Scientist – Integrity

at Salla E-Commerce Platform

• Job title: Senior Data Scientist – Integrity
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Grafana, Kafka, Python, PyTorch, Redis, Scikit-Learn, SQL
• Location requirements: Hybrid, Jeddah, Saudi Arabia

About the role

• Senior Data Scientist for Integrity & Trust developing AI fraud detection systems in MENA region. Building models for detection and maintaining marketplace quality across the platform.

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.
• Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact.

Benefits

• Medical Health Insurance
• Performance Bonus
• Others