Data Scientist jobs in Saudi Arabia
Expert Data Scientist
Master-Works
Senior Data Scientist
Dar AlBalad
Senior Data Scientist - End-to-End AI/ML Leader
Master-Works
Senior Data Scientist — ML, NLP & Production Analytics
Dar AlBalad
Data Scientist (Saudi National)
Raqmiyat
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Xenon7
Data Scientist - Digital & AI Projects (Saudi Arabia)
Eram Talent
Saudi National Data Scientist - Analytics & ML Modeling
Raqmiyat
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Eram Talent
Chief Data Scientist — Fintech & Banking Innovation
Xenon7
Expert Data Scientist (Arabic Speaker) - Immediate Joining
Master-Works
Data Scientist — ML & Analytics (6-Month Contract)
Müller`s Solutions
Senior Data Scientist — AI/ML Solutions Architect
Master-Works
Data Scientist: Predictive Modeling & Insights Leader
Müller`s Solutions
Senior Data Scientist - End-to-End AI/ML Leader
Master-Works
Senior / Staff Data Scientist - Recommendations / Personalization Systems
Salla
Senior AI/ML Data Scientist — Lead & Mentor Teams
Gateway
Expert Data Scientist
Job summary
A leading AI solutions provider in Saudi Arabia is seeking an Expert Data Scientist to develop advanced AI and machine learning models. This role requires at least 5 years of experience in the field and fluency in Arabic. You will be responsible for data analysis, solution implementation, and providing technical project support. Strong proficiency in Python and experience with ML libraries are essential. The ideal candidate should have a Bachelor's degree in Computer Science or related fields and preferred certifications in Data Science or AI.
Qualifications
- 5+ years experience in Data Science, AI, or Machine Learning.
- Deep knowledge of machine learning and data science methodologies.
- Hands-on experience with large datasets.
Responsibilities
- Collect, clean, transform, and analyze data from various sources.
- Design, develop, and validate machine learning and AI models.
- Deploy machine learning models into production environments.
- Document modeling processes and prepare reports.
Skills
Education
Tools
The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.
- Data Analysis & Modeling
- Collect, clean, transform, and analyze data from different sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Design, develop, and validate machine learning and AI models.
- Select appropriate algorithms and techniques for each use case.
- Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
- Optimize and fine‑tune models to enhance performance.
- Solution Implementation
- Deploy machine learning models into production environments.
- Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
- Build scalable data pipelines for processing large datasets.
- Monitor and update deployed models to ensure continuous performance.
- Technical Project Support
- Provide expert consultation on AI solutions and model design.
- Identify required data sources and support the data acquisition process.
- Participate in technical discussions with clients and internal teams.
- Support User Acceptance Testing (UAT) from a technical perspective.
- Documentation & Reporting
- Document modeling processes, methodologies, and analytical results.
- Prepare technical reports and present findings clearly to technical and non‑technical audiences.
- Maintain proper documentation for model design and deployment.
- Language Requirement: Fluent Arabic (mandatory)
- Experience Level: 5+ years in Data Science / AI / Machine Learning
- Sector: AI projects, digital transformation, advanced analytics
- Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field
- Preferred Certifications: Machine Learning / Deep Learning Data Science Certifications, AI & ML specializations
- Required Skills & Expertise
Deep knowledge of machine learning, deep learning, and data science methodologies. Strong proficiency in: Python (essential) Experience with ML and data libraries: TensorFlow or PyTorch, Scikit‑learn, Pandas, NumPy. Hands‑on experience with visualization tools: Power BI, Tableau. Understanding of MLOps concepts and data engineering fundamentals. Experience working with large datasets and implementing data mining techniques.
- Preferred Experience
- Previous experience in Saudi Arabia (public or private sector).
- Experience in AI projects involving vision, NLP, or sensor data.
- Familiarity with end-to-end AI development lifecycle.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.