Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

ROBUSTA; Saudi Arabia; On-site; SAR 100,000 - 150,000; Full time

Job summary

A tech recruitment firm in Saudi Arabia is hiring a Data Scientist to develop and implement machine learning models that drive business value. This role involves building data pipelines, ensuring compliance with local regulations, and collaborating with engineering teams. Ideal candidates should have a strong background in machine learning and data analysis, along with experience in model deployment and monitoring. This is an exciting opportunity to contribute to innovative projects in a dynamic environment.

Qualifications

• Proven experience developing machine learning models.
• Familiarity with data pipeline construction and management.
• Strong programming skills in Python or R.

Responsibilities

• Identify and prioritize AI/ML use cases delivering business value.
• Develop, validate, and deploy machine learning models.
• Implement model monitoring and retraining mechanisms.

Skills

Machine learning

Data analysis

Python programming

Statistical analysis

Deep learning

NLP

Model deployment

Education

Bachelor's degree in Data Science, Computer Science, or related field

Tools

TensorFlow

Pandas

Scikit-learn

AWS

Job description

Overview

About Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Scientist for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Responsibilities

• Identify and prioritize AI/ML use cases that deliver measurable business value and ROI.
• Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization.
• Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment.
• Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable.
• Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines.
• Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance.
• Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance.
• Partner with business stakeholders to translate complex business problems into actionable data-driven solutions.
• Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes.
• Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance.
• Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights.
• Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities.
• Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications.
• Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models.
• Support the development of enterprise ML platforms and reusable AI/ML components.