Senior Data Scientist

Senior Data Scientist Location: Saudi Arabia Department: IT / Data Science Role Overview We are seeking a Senior Data Scientist to drive advanced analytics and machine learning initiatives across the organization. The role focuses on developing data-driven solutions, building scalable models, and generating insights to support business and digital transformation objectives. Key Responsibilities • Lead development and deployment of machine learning and advanced analytics models. • Identify, integrate, and analyze large structured and unstructured datasets. • Collaborate with engineering and business teams to deliver data-driven products and insights. • Apply statistical analysis and experimentation to solve complex business problems. • Present insights through data visualization and stakeholder communication. • Mentor junior data scientists and support best practices adoption. Requirements • Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. • 7+ years of experience in data science or machine learning roles. • Strong programming skills (Python, R, or similar). • Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Solid statistical analysis and data visualization expertise. • Experience working with large datasets and model deployment. Preferred • Experience with big data or cloud platforms (e.g., Spark, AWS, Azure, GCP). • NLP, time-series, or advanced analytics specialization. • Leadership or mentoring experience.

Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. 7+ years of experience in data science or machine learning roles. Strong programming skills (Python, R, or similar). Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid statistical analysis and data visualization expertise. Experience working with large datasets and model deployment.

Lead development and deployment of machine learning and advanced analytics models. Identify, integrate, and analyze large structured and unstructured datasets. Collaborate with engineering and business teams to deliver data-driven products and insights. Apply statistical analysis and experimentation to solve complex business problems. Present insights through data visualization and stakeholder communication. Mentor junior data scientists and support best practices adoption.