AI Data Scraper

Company Description
Logics Yard is a technology-focused company specializing in data-driven solutions that support modern AI and automation initiatives. The organization builds tools and services that help clients collect, structure, and interpret large volumes of data for better decision-making. Team members work with contemporary data technologies and AI methodologies to deliver efficient, scalable, and reliable solutions. Logics Yard values innovation, collaboration, and continuous learning, offering opportunities to contribute to impactful projects in a flexible, remote-friendly environment.
Role Description
The AI Data Scraper is a full-time remote role responsible for designing, implementing, and maintaining automated data collection pipelines from diverse online sources. Day-to-day tasks include identifying relevant data sources, building and optimizing web scraping scripts or tools, and ensuring that collected data is clean, structured, and ready for downstream AI and analytics use. The role involves monitoring scraping processes for reliability, handling data quality checks, and collaborating with data engineers, data scientists, and product teams to align data collection with project requirements. The AI Data Scraper also documents processes, adheres to data privacy and compliance guidelines, and continuously improves scraping methodologies to increase efficiency and scalability.
Qualifications
Candidates should possess strong skills in Data Analysis and Data Analytics to interpret scraped data and support insights generation.
Candidates should possess solid Data Management and Data Modeling skills to organize, structure, and prepare datasets for AI and reporting use.
Candidates should possess advanced Analytical Skills to evaluate data quality, troubleshoot scraping issues, and optimize collection strategies.
Experience with web scraping tools and libraries (e.g., Python, BeautifulSoup, Scrapy, Selenium, or similar) and APIs.
Familiarity with databases and data storage solutions (SQL/NoSQL) and basic ETL concepts.
Understanding of data privacy, ethical data use, and compliance considerations when collecting online data.
Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or equivalent practical experience is preferred.

Work arrangement
Yes