Data Scientist (Saudi Arabia)

Eram Talent, a leader in talent acquisition and workforce solutions, is seeking a highly skilled and motivated Data Scientist to join our client's team in Saudi Arabia. We are seeking an experienced Data Scientist with an expert-level in Business Intelligence that focus on designing and implementing Data Vault models. The ideal candidate will have extensive expertise in architecting and managing enterprise-scale data warehouse solutions to enable data-driven decision-making across the organization.

1. Data Vault Architecture Design:
   - Design and develop Data Vault models that adhere to industry best practices.
   - Create hub, link, and satellite tables based on business requirements.
   - Ensure scalability, flexibility, and maintainability of the Data Vault architecture.
2. Implementation and Development:
   - Implement Data Vault 2.0 methodology for data warehousing projects.
   - Develop ETL processes to load data into the Data Vault.
   - Optimize ETL workflows for efficiency and performance.
3. Data Integration and Management:
   - Integrate data from various sources into the Data Vault.
   - Ensure data quality, consistency, and accuracy through validation and testing.
   - Manage metadata and documentation for the Data Vault environment.
4. Data Mining and Analysis:
   - Perform data mining to identify patterns, correlations, and trends in large datasets.
   - Use statistical and machine learning techniques to build predictive models.
   - Analyze and interpret complex data to provide actionable insights for business decision-making.
5. Data Visualization:
   - Create interactive and visually appealing data visualizations using tools like Power BI.
   - Communicate findings and insights through dashboards, reports, and presentations. .
6. AI and Machine Learning:
   - Develop and implement AI and machine learning models to solve business problems.
   - Continuously evaluate and improve model performance.
7. Collaboration and Support:
   - Provide guidance and support to team members on Data Vault and data science best practices.
   - Collaborate with IT and data governance teams to ensure compliance with data security and privacy regulations.
8. Performance Tuning and Optimization:
   - Monitor and optimize the performance of the Data Vault environment.
   - Implement strategies for data partitioning, indexing, and query optimization.
   - Troubleshoot and resolve issues related to data loading and retrieval.