Job Description: Data Scientist 1. Develop and maintain data pipelines for processing large datasets using Python and relevant libraries such as Pandas and NumPy. 2. Parse log files and other data sources to extract relevant information and insights. 3. Connect to various databases and APIs to fetch, manipulate and store data as required. 4. Design and develop efficient data structures and algorithms for data processing, cleaning, and analysis. 5. Lead projects end-to-end, and collaborate with cross-functional teams, including data scientists, analysts, and product managers. 6. Write clean, maintainable, and scalable code, with a strong emphasis on testing and documentation. 7. Set up and manage scheduling tools, such as Airflow, to automate data processing tasks. 8. Continuously improve the efficiency and effectiveness of data pipelines, by identifying and implementing best practices and new technologies. 9. Ensure code is version-controlled and collaborate with other team members using Git.