Data Scientist - Generative AI and Quality Assurance - Remote

Overview

This position is posted by Jobgether on behalf of Zyte. We are currently looking for a Data Scientist - Gen AI / QA in Argentina, Brazil, Uruguay, Poland, Spain, Portugal, UK, Ireland, Croatia, Hungary, Slovenia.

As a Data Scientist specializing in Generative AI and QA, you’ll play a key role in advancing data quality validation processes for large-scale web-extracted data. This is a highly technical, detail-oriented position where you will apply Python, AI, and data visualization techniques to detect and resolve data inconsistencies, automate quality checks, and deliver trusted results. You’ll collaborate with cross-functional teams in a fully remote, global environment, supporting enterprise-grade customers. If you're passionate about leveraging AI to solve data problems at scale, this is a high-impact opportunity in a fast-evolving space.

In Short

• Design and implement AI-powered data quality validation techniques based on customer-specific web scraping requirements.
• Analyze and summarize large datasets through descriptive statistics, summaries, and visualizations to uncover quality issues.
• Extend manual QA processes with automated, AI-driven verification tools.
• Communicate findings and insights clearly to both technical and non-technical stakeholders, including QA engineers, developers, PMs, and clients.
• Collaborate with the engineering team to identify root causes of data issues and propose technical solutions.
• Write robust, reusable code following best practices in Python and version control systems such as GitHub or BitBucket.

Requirements

• Strong experience in Data Science and Generative AI.
• Proficiency in Python programming.
• Experience with data visualization techniques.
• Familiarity with web scraping methodologies.
• Ability to analyze and interpret large datasets.
• Excellent communication skills for technical and non-technical audiences.
• Experience with version control systems like GitHub or BitBucket.

Benefits

• Fully remote work environment.
• Opportunity to work on high-impact projects.
• Collaborative and supportive team culture.
• Access to cutting-edge technology and tools.
• Professional growth and development opportunities.