Data Scientist

- Develop and maintain data pipelines for processing large datasets using

Python and relevant libraries such as Pandas and NumPy.

- Parse log files and other data sources to extract relevant information and insights.
- Connect to various databases and APIs to fetch, manipulate and store data as required.
- Design and develop effective data structures and algorithms for data processing, cleaning, and analysis.
- Lead projects end-to-end, and collaborate with cross-functional teams,

including data scientists, analysts, and product managers.

- Write clean, maintainable, and scalable code, with a strong emphasis on testing and documentation.
- Set up and manage scheduling tools, such as Airflow, to automate data processing tasks.
- Continuously improve the efficiency and effectiveness of data pipelines, by identifying and implementing best practices and new technologies.
- Ensure code is version-controlled and collaborate with other team members using Git.

📌 Data Scientist (Pune)
🏢 iSHR for IT u0026 Surveillance
📍 Pune