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Data Scientist for Analytics and Visualization
2 semanas atrás
Your Role & Responsibilities:
- 1. Design and build clear, insightful dashboards using tools like Plotly, Dash, or other libraries, focusing on usability and high data visibility for data quality and trend monitoring.
2. Develop and implement PySpark algorithms to preprocess and analyze flight data, focusing on time-series data insights and quality monitoring.
3. Build dashboards to identify and monitor data quality metrics, enabling quick diagnosis and resolution of data integrity issues.
4. Work closely with data engineers to integrate visualizations with the backend infrastructure, ensuring alignment with data workflows.
5. Continuously enhance dashboards and visualization tools based on user feedback and engineering needs, adapting to evolving requirements.
6. Design visualizations to handle large time-series datasets efficiently, implementing downsampling, asynchronous loading, or aggregation techniques to optimize performance.
7. Document dashboard functionality and best practices, and train users on data visualization standards to maximize the tool's impact.
Benefits:
