Workplace
Data Scientist
Dubai
UAE Dirhams 25000.00 - UAE Dirhams 30000 per month
Permanent
Our client is hiring a Data Scientist to join the Analytics department within the Digital Marketing team. Your role will be to build predictive models to help grow the business into new markets. The role:Data Pipeline Development: Design, develop, and maintain data pipelines to efficiently collect and ingest data from various sources, including websites, CRM systems, advertising platforms, and third-party APIs.Data Integration: Integrate and transform data from multiple sources into a unified, structured format suitable for analysis, reporting, and modelling.Database Management: Manage and optimize databases, ensuring data integrity, performance, and security. Implement data warehousing solutions for storage and retrieval.ETL Processes: Develop and maintain ETL (Extract, Transform, and Load) processes to clean, enrich, and prepare data for analysis, reporting, and visualization.Automation: Implement automation solutions to streamline data collection, processing, and reporting workflows, reducing manual efforts.Data Quality Assurance: Monitor data quality, identify discrepancies or anomalies, and implement data validation and cleansing processes.Data Governance: Establish data governance policies, standards, and best practices to ensure data consistency, compliance, and security.Work with the team to develop and implement machine learning models for predictive and prescriptive analytics.Evaluate and fine-tune models for optimal performance.Documentation: Maintain clear and comprehensive documentation for data pipelines, processes, and infrastructure configurations.Performance Optimization: Continuously optimize data pipelines and databases for scalability and efficiency, anticipating future growth and data volumeYour experience:4 - 6 years experience in similar roles.Proven experience in data engineering, ETL processes, and database management, particularly with tools such as Apache Spark, Hadoop, SQL, or NoSQL databases.Proficiency in programming languages such as Python, Java, or Scala.Strong knowledge of data warehousing concepts and architecture.Experience working with cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure).Proven track record of solving complex problems using data-driven approaches.Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree is a plus.