Ecommerce Data Scientist Position Open Now

Role: Data Science Professional

We are seeking a highly skilled Data Science professional to join our team.

The ideal candidate will have expertise in data extraction, processing, and analysis using Python and relevant libraries.

Key Responsibilities:

• Data Extraction: Design, develop, and maintain efficient web scraping solutions to extract structured and unstructured data from various websites and APIs.
• Data Processing: Use tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
• Automation: Build and manage automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
• Workflows: Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
• API Integration: Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
• Data Storage: Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
• Collaboration: Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.
• Issue Resolution: Debug and troubleshoot issues in scraping pipelines and scripts.

Required Skills & Qualifications:

• Experience: 1-3 years of hands-on experience in web scraping and data extraction.
• Technical Skills:
• Python Proficiency: Strong proficiency in Python.
• Web Scraping Frameworks: Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
• Data Manipulation Libraries: Experience with data manipulation libraries like Pandas.
• API Integration: Familiarity with API integration (REST, GraphQL, etc.).
• SQL Knowledge: Proficiency in SQL for data querying, database design, and managing large datasets.
• JavaScript Knowledge: Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
• Version Control: Experience with version control (Git) and collaborative development environments.
• Other Skills:
• Problem-Solving: Problem-solving skills with attention to detail.
• Coding Ability: Ability to write clean, maintainable code and automate workflows.
• Technology Knowledge: Good understanding of HTTP, HTML, CSS, and JavaScript.
• Cloud Services: Familiarity with cloud services (AWS, Azure, GCP) is a plus.

Nice to Have:

• Cloud-Based Scraping Tools: Experience with cloud-based scraping tools or services (e.g., AWS Lambda, Google Cloud Functions).
• Distributed Scraping: Familiarity with distributed scraping and data pipeline management.
• Large-Scale Data Collection: Experience with large-scale data collection and storage systems.
• Ethical Issues: Knowledge of ethical and legal issues related to web scraping.

About Us:

We are an e-commerce analytics and automation company. Our proprietary digital shelf analytics and automation platform helps e-commerce brands solve complexities in today's e-commerce landscape by offering a unified business view on various aspects of e-commerce business.

Our platform leverages insights drawn from multiple data points to help clients win in e-commerce by gaining a competitive edge with data-driven insights for sharper decision-making. The insights cover all aspects of e-commerce such as digital product portfolio analysis, supply chain analytics, e-commerce operations automation, pricing, and competitor benchmarking, and Amazon advertising automation using our proprietary algorithms.

As a leading e-commerce service provider, we offer comprehensive end-to-end e-commerce solutions to brands, both in India and abroad. Right from preparing a roadmap to writing client success stories to assisting them in increasing online sales, we do everything via our diverse e-commerce services and bespoke strategies and technology.

Awards & Recognition:

Thanks to client faith, we have been featured as