Lead Data Scientist - Integrity & Safety

Salla; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading e-commerce platform in Saudi Arabia is seeking a Senior Data Scientist to protect buyers and sellers by building AI systems that detect fraud and eliminate counterfeit products. You will mentor a team, design feature pipelines, and collaborate with various departments to enhance marketplace integrity and trust. This role requires expertise in machine learning, NLP, and hands-on experience with data analysis tools.

Qualifications

• Experience building and deploying ML models.
• Proven ability to mentor junior data scientists.
• Strong understanding of NLP techniques.

Responsibilities

• Build supervised and unsupervised ML models for fraud detection.
• Grow the Integrity, Safety & Trust pod and mentor team members.
• Develop dashboards for real-time detection of policy violations.

Skills

Machine learning

Natural Language Processing

Data analysis

Graph-based modeling

Anomaly detection

Tools

Elastic

Grafana

CLIP

BERT

ViT

Job description

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.