Lead Data Scientist - Integrity & Safety

Salla; Makkah Region; On-site; SAR 200,000 - 300,000; Full time

Job summary

A prominent e-commerce company in Saudi Arabia is looking for a Senior Data Scientist to lead the development of AI systems aimed at fraud detection and marketplace quality. The candidate should have extensive experience in applied machine learning and a strong background in Python and SQL. Responsibilities include building ML models, mentoring a team, and collaborating with product and legal teams to define integrity policies. The position offers comprehensive benefits including medical insurance and performance bonuses.

Benefits

Medical Health Insurance

Performance Bonus

Others

Qualifications

• 5+ years of experience in applied ML, with at least 2+ years focused on Trust & Safety.
• Experience with multi-modal text-image modeling for Arabic/English content moderation.
• Proven experience building or growing a team of applied data scientists.

Responsibilities

• Build and deploy supervised and unsupervised ML models for various detection needs.
• Lead the Integrity, Safety & Trust pod and mentor team members.
• Collaborate with product and legal teams to define integrity policies.

Skills

Machine Learning

Fraud Detection

Data Science

Python

SQL

Product Policy Enforcement

Cross-Functional Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Tools

PyTorch

Transformers

Scikit-learn

OpenCV

Kafka

Redis Streams

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.

Qualifications

• 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.
• Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes.
• Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact.

Benefits

• Medical Health Insurance
• Performance Bonus
• Others