Data Scientist

Company Summary

Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar’s economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.

 By Joinig us , you’ll be part of workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential. 

Join us in shaping the future of banking!

Job Summary

We are looking for Data Scientist who will be Responsible for modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business. Turn big data into critical information and knowledge that can be used to make sound organizational decisions and drive change

Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualisation techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns