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Data Scientist - Gen AI / QA at Jobgether. 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.. . Accountabilities. . 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.. . . At least 3 years of hands-on experience with Python and the PyData stack (Pandas, NumPy, etc.).. . Solid understanding of Generative AI, especially in the context of web scraping, parsing, and data quality automation.. . Comfortable with prompt engineering and optimization techniques (token/cost control).. . Familiarity with frameworks like MCP, Marvin, Langchain, and experience with OpenAI, Google, or Anthropic APIs.. . Skilled in analyzing and visualizing large-scale datasets (millions of records), with strong attention to detail.. . Working knowledge of QA methodologies and tools for validating structured and unstructured data.. . BS in Computer Science, Engineering, Mathematics, Statistics, or a related field.. . Excellent communication skills in English, with the ability to explain technical concepts to varied audiences.. . Preferred:. . Prior experience in a Data QA role focused on data integrity rather than application testing.. . Familiarity with Jupyter/JupyterLab, Spark, BigQuery, and dashboard creation.. . Experience in fully remote, globally distributed teams.. . Company Location: Portugal.