
Advanced Data Quality Specialist
Há 15 horas
As a seasoned professional in the field of data science, you will play a pivotal role in advancing data quality validation processes for large-scale web-extracted data using Generative AI and QA techniques.
Key Responsibilities:
- 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.
- Collaborate with the engineering team to identify root causes of data issues and propose technical solutions.
Requirements:
- At least 3 years of hands-on experience with Python and the PyData stack.
- Solid understanding of Generative AI, especially in the context of web scraping, parsing, and data quality automation.
- Comfortable with prompt engineering and optimization techniques.
- 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 Skills:
- 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.
Benefits
This is an exceptional opportunity to join our data science team and contribute to cutting-edge projects that leverage the power of Generative AI and data quality automation.
We offer a collaborative and dynamic work environment, along with opportunities for professional growth and development.
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