Full Time/Onsite in Riyadh, Saudi Arabia

Position Objectives

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

Job Description & Responsibilities

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

Qualifications & Experience

• Bachelor’s or master’s degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
• Min 8 years of experience as Data Scientist.
• Hands on experience as lead, who can formulate strategies, Technical Roadmap, act as Technical Consultant as well as hands on professional to do the implementation.
• Expertise in Python (pandas, matplotlib), SQL, and machine learning frameworks.
• Hands on knowledge and experience of data storage, data modeling, and ETL processes.
• Expertise in low-latency systems, storage optimization, and high-performance computing.
• Understanding of general concepts used in OpenShift AI platforms.
• Familiarity with BI dashboards (e.g., Power BI) and data visualization.
• Soft Skills:
• Communication: Ability to explain complex models, present results, and write clear documentation.
• Collaboration & Teamwork: Align with AI, MLOps, Data, and App teams for seamless project execution.
• Problem-Solving: Debug models, optimize pipelines, and devise creative solutions.
• Adaptability: Thrive in dynamic environments with evolving tools, frameworks, and use cases.
• Time Management: Deliver prototypes, deployments, and iterations on schedule.
• Excellent Communication skills in English is must and Arabic (preferred).
• Keywords: Data Science, ML Support, Explainability, Feature Engineering, ETL, Data Storage, Storytelling, Insight Delivery, Business Empathy.