Job details
Job Summary
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 datasets, architecting specialised 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 organisational 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.
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 profiles 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, principal component analysis, and others within the Commercial Department.
Model and frame business scenarios that are meaningful and 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, geo-location information, or social media.
Other Accountabilities
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 communicate the results and methodologies.
Validate findings/test hypotheses using an experimental and iterative approach (e.g., scenario modelling) and identify/create the appropriate algorithm to discover patterns.
Education
Bachelor's Degree, preferably in a Business-related major.#J-18808-Ljbffr
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Hiring company
Confidential
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Data Engineering Level 3 Advanced Diploma Course LineAED 49Duration: Upto 13 Hours
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AED 77Duration: Upto 4 Hours
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