Job Summary:

A Senior data scientist takes part in developing business requirements and scenarios to generate the required insights, and defines methodologies and advanced data analysis techniques to use, analyze and manipulate raw and complex data streams, and apply AI/BI and ML methods to extract relevant insights Significance, technical performance and hypothesis testing on the results and prepare regular reports reflecting the department's activities and achievements to promote the establishment of a lessons-learned environment.

Responsibilities & Accountabilities:

Conduct research, benchmarking studies, and standards to determine best practices and latest updates in the areas of analytics Data and artificial intelligence.
Perform feasibility assessment of scenarios and prepare business requirements including defining parameters and estimating resources.
Conducting workshops with the Department of Business Analysis in order to identify relevant data sets and correlations potential to generate insights.
Develop scenarios to generate the required insight and define the detailed analytics models that will be used in each Scenario.
Contact the data bank to identify available online datasets and request the required access permissions when required.
Identify unavailable data sets and inform the Department of Business Analysis and follow up on missing data to ensure Submit it in a timely manner.
Define advanced data analysis methodologies and techniques including regression, optimization, Bayesian methods, and extraction data to improve the accuracy and quality of the insights extracted.
Determine the data to be included in the base tables, determine the level of granularity and detail, and communicate with Data management for development purposes.
Analyze and process raw and complex data streams from available base tables and various data sources.
To discover hidden relationships and useful insights, in line with the assumptions and business requirements defined by management Business analysis.
Apply AI/AI/ML methods and perform quantitative analytics and modelling to extract insights and highlight any discrepancy.
Perform technical hypothesis testing on the results to ensure that the insights elicited meet the needs of stakeholder’s expectations and the level of accuracy required.
Coordinating with the National Center for Artificial Intelligence (under the Saudi Authority for Data and Artificial Intelligence) and collecting The latest data analytics and AI research findings to be incorporated into the insights generation process.
Liaising with the department for business analysis and creating highly visual reports including charts and graphs Dashboards etc. to highlight extracted results and insights.
Reporting the final result to the General Department of Business Analysis for validation, and collecting feedback on the results generated and make final adjustments when needed to ensure that set expectations are met.
Sharing the final product with the Data Management Department in order to initiate pipeline automation operations.
Collect account level service usage data, provide it to the stakeholder management team, and communicate with an analyst Data first when additional support is needed.
Collect and record all analyzes performed and related documents to be incorporated into the management database.
Perform proper document control of all collected documents to ensure all documents and methodologies are stored and analytics and templates used to ensure knowledge transfer.
Maintain collected analysis documents and perform required assessment to highlight the most efficient methodologies and techniques used to facilitate future operations.
Comprehensive reports highlighting the activities of the Department of Data Analysis and Artificial Intelligence, and bottlenecks Specific, corrective actions, thus highlighting areas for improvement.
Carry out day to day activities ensuring compliance with policies and procedures.
Contribute to identifying opportunities for continuous improvement of systems and processes taking into account leading practices and changes In the business environment, reduce costs and improve productivity.
Establish working relationships with relevant internal stakeholders.
Gather feedback from internal stakeholders on issues they face and other requirements.
Contribute to the preparation of progress reports addressed to all relevant stakeholders to keep them informed progress made.

Job Requirements:

A bachelor’s degree in data science or computer science or equivalent is required.
Minimum 3 years of experience in processing data and generating insights.

SDAIA سدايا

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