Data Scientist

The Data Scientist is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.

 

 

• Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation

• Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.

• Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.

• Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives.

• Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.

• Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.

• Network & System Optimization: Ensure the organization's data systems and models are operating at optimal levels, performing regular updates and improvements.

• Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.

• Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.

• Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.

• Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.

 

• Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.

• Ensure compliance with data governance and security standards.

• Provide recommendations for improving data infrastructure and processes to increase business efficiency.

• Deliver ongoing support for mission-critical business functions through data-driven strategies.

• Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.