Data Scientist

21 hours ago


Delhi, Delhi, India NuvoRetail Full time

Are you a skilled Data Analyst looking to leverage your expertise in data extraction and analysis to drive business growth in the e-commerce sector? We are seeking an experienced Web Scraping Analyst to join our team at NuvoRetail, a leading e-commerce analytics and automation company.

About Us

At NuvoRetail, we provide comprehensive end-to-end e-commerce solutions to brands across India and abroad. Our proprietary digital shelf analytics and automation platform, Enlytical.ai, helps clients gain a competitive edge with data-driven insights for sharper decision-making. As a trusted e-commerce service provider, we offer bespoke strategies and technology to assist brands in increasing their online sales.

Job Description

We are looking for a talented Web Scraping Analyst to design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs. Your primary responsibility will be to use tools like Python, Selenium, Beautiful Soup, Scrapy, and Pandas for data scraping and processing. You will work closely with data analysts and other stakeholders to provide required data for further analysis and reporting.

Key Responsibilities
  • Design, develop, and maintain automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
  • Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
  • Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
  • Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
Required Skills & Qualifications

To succeed in this role, you should have:

  • 1-3 years of hands-on experience in web scraping and data extraction.
  • Strong proficiency in Python.
  • Experience with web scraping frameworks and libraries like Selenium, Scrapy, Beautiful Soup, and Requests.
  • Experience with data manipulation libraries like Pandas.
  • Familiarity with API integration (REST, GraphQL, etc.).
  • Proficiency in SQL for data querying, database design, and managing large datasets.
Salary Range: ₹850,000 - ₹1,100,000 per annum
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