Data Scientist

• Analytics & Data Science Head leads the analytics and data science section and overlooks analytics use case and KPI development, visualization and artificial intelligence and machine learning initiatives for the company

• Oversee the analytics and data science section operations

• Collaborate with other teams of the company to consolidate efforts on data analytics and data science activities

• Lead the formulation of use cases and KPIs

• Provide final approval on data dashboards and visualizations

• Perform review of data models and pipelines built to ensure they serve the intended purpose outlined in the analytics agenda

• Assist in formulating the company’s Data Strategy and drive the definition of the underlying analytics strategy and roadmap

• Overlook the implementation of artificial intelligence and machine learning initiatives

• Discuss and seek approval from the Director of Value Realization Data Department on all analytics and data science strategic topics

• Facilitate the collaboration between his department and others

• Cover the role of the analytics champion

• Review and approve Business, Functional and Technical requirement documents (BRD, FRDs, and TRDs)

• Perform review on the outcome of business intelligence data analysis, including revenue analysis, sales analysis, market information analysis, or analysis of other customer engagement metrics of a business

• Suggest and assist in the development of program tools and data models to help visualize or monitor data if needed

• Understand business requirements of the entity in the BI context and work closely with the Data Visualization Engineers to design data models to transform raw data into meaningful insights

• Between 6 to 10 years of experience as an Analytics Senior Leader, with proven know-how in leading major Data transformation programs

• Relevant degree in Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is preferred

• Strong managerial and communication skills

• Experience using business intelligence tools and data frameworks

• Analytical mindset and business acumen

• Good knowledge and understanding of different technologies (Azure, AWS, SAP) and how they co-exist to create a Business Intelligence Platform

• Strong value realization, collaboration, communication, negotiation, influence, and strategic vision skills

Al Nahiya Group