AI Data Scraper

Logics Yard is a technology-driven company focused on delivering data-centric solutions that empower AI and automation projects. The team develops tools and services to help clients efficiently collect, organize, and analyze large datasets, enabling smarter decision-making. Employees work with cutting-edge data technologies and AI techniques to create scalable, reliable solutions in a collaborative and innovative environment. The company supports continuous learning and offers flexible, remote-friendly work arrangements.

Key Responsibilities
Design, develop, and maintain automated data collection pipelines from various online sources. Identify and evaluate relevant data sources to ensure comprehensive coverage. Build and optimize web scraping scripts or tools using appropriate technologies to gather clean, structured data. Monitor scraping processes to maintain reliability and troubleshoot any issues that arise. Perform data quality checks to ensure accuracy and usability of collected information. Collaborate closely with data engineers, data scientists, and product teams to align data collection efforts with project goals. Document workflows and adhere strictly to data privacy, ethical standards, and compliance requirements. Continuously refine scraping methodologies to improve efficiency, scalability, and robustness of data pipelines.

Required Qualifications
Strong skills in data analysis and analytics to interpret scraped data and support insight generation. Proficiency in data management and data modeling to organize and prepare datasets for AI applications and reporting. Advanced analytical capabilities to assess data quality, resolve scraping challenges, and optimize collection strategies. Experience with web scraping tools and libraries such as Python, BeautifulSoup, Scrapy, Selenium, or similar frameworks, along with working knowledge of APIs. Familiarity with database technologies including both SQL and NoSQL systems, as well as fundamental ETL (Extract, Transform, Load) processes. A solid understanding of data privacy, ethical considerations, and compliance standards related to online data collection. Strong problem-solving skills, attention to detail, and the ability to work independently in a remote setting. A bachelor’s degree in Computer Science, Data Science, Information Systems, or equivalent practical experience is preferred.

Preferred Qualifications and Benefits
While not explicitly detailed, the role offers the opportunity to work on impactful projects within a forward-thinking company that values innovation and collaboration. The remote-friendly environment supports work-life balance and continuous professional growth. Team members benefit from exposure to modern data technologies and AI methodologies, fostering skill development and career advancement.

This position is ideal for individuals passionate about leveraging data to drive AI initiatives and who thrive in a dynamic, remote work culture focused on innovation and excellence.