Ai jobs in Saudi Arabia

Bachelor of Science (Any, Computers), Bachelor of Arts (Statistics)

Nationality

Any Nationality

Vacancy

1 Vacancy

Position Objectives

1. Prepare high-quality data for machine learning pipelines to ensure robust model performance.
2. Support model evaluation, visualization, and validation processes to drive reliable outcomes.
3. Apply explainability techniques and deliver actionable insights through effective reporting.

Job Description & Responsibilities

1. Conduct data exploration, profiling, cleaning, and feature extraction to build robust datasets.
2. Implement explainability tools (e.g., SHAP, LIME) to enhance model transparency and interpretability.
3. Collaborate with cross-functional teams on experimentation, model validation, and iterative improvements.
4. Assist in integrating BI tools (e.g., Power BI) and craft compelling data storytelling for stakeholders.
5. Establish and maintain clean, efficient data pipelines to support scalable ML workflows.
6. Deliver validated models quarterly, meeting performance and reliability standards.
7. Ensure stakeholder satisfaction through clear, impactful reports and actionable insights.
8. Customer/Stakeholder Focus: Build usable AI solutions tailored to stakeholder needs.
9. Presentation Skills: Lead demos, share insights, and conduct architecture walkthroughs.

Qualifications & Experience

1. Bachelor's or master's degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
2. Minimum 8 years of experience as a Data Scientist.
3. Hands-on experience as a lead, capable of formulating strategies, developing technical roadmaps, acting as a technical consultant, and implementing solutions.
4. Expertise in Python (pandas, matplotlib), SQL, and machine learning frameworks.
5. Experience with data storage, data modeling, and ETL processes.
6. Knowledge of low-latency systems, storage optimization, and high-performance computing.
7. Understanding of concepts used in OpenShift AI platforms.
8. Familiarity with BI dashboards (e.g., Power BI) and data visualization.
9. Soft Skills:
10. Excellent communication skills in English (mandatory), Arabic (preferred).
11. Strong collaboration and teamwork skills across AI, MLOps, Data, and Application teams.
12. Problem-solving ability for debugging models and optimizing pipelines.
13. Adaptability to evolving tools, frameworks, and use cases.
14. Effective time management to meet deadlines for prototypes, deployments, and iterations.
15. Keywords: Data Science, ML Support, Explainability, Feature Engineering, ETL, Data Storage, Storytelling, Insight Delivery, Business Empathy.

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