# Senior Data Science - Integrity

> Salla · Jeddah, Saudi Arabia (Hybrid) · Full-time · Posted 2026-06-10

**Workplace:** hybrid

**Department:** AI and Data Analytics

## 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.

## 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

## Apply

[Apply at Salla](https://apply.workable.com/salla/j/F9B8369988/apply)

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