High-Impact Data Quality Expert

Há 2 dias

Jundiaí, São Paulo, Brasil beBeeQuality Tempo inteiro US$102.108 - US$135.141

**Data Quality Specialist Role Overview**

**About the Job**

We are seeking a skilled professional to join our team as a Data Quality Specialist. In this role, you will be responsible for designing and implementing AI-driven quality checks to ensure data accuracy and integrity.

As a Data Quality Specialist, you will work with various tools and technologies to automate and scale QA processes, leveraging GenAI for validation and developing monitoring & alerting pipelines. You will also collaborate cross-functionally with developers, product managers, and account teams to integrate AI-based QA into production workflows.

**Key Responsibilities**
  • Design and implement AI-driven quality checks using machine learning models to detect anomalies, identify schema drift, and classify data errors in real-time.
  • Automate and scale QA processes by replacing manual and rule-based validation with ML-powered solutions that continuously improve.
  • Leverage GenAI for validation by using embedding models, LLMs, and prompt-driven pipelines to perform semantic checks on scraped data.
  • Develop monitoring & alerting pipelines to quantify data quality via KPIs, dashboards, and automated reports for stakeholders.
  • Experiment & innovate by researching and prototyping new AI techniques for QA, e.g., using embeddings, synthetic data, and reinforcement learning to stress-test scrapers.
**Requirements**
  • Proficiency in Python & PyData stack (NumPy, pandas, scikit-learn, PyTorch/TensorFlow preferred).
  • 3+ years in a data science, applied ML, or data engineering role (ideally with exposure to QA or data validation at scale).
  • Hands-on experience with GenAI tools: LLM APIs (OpenAI, Anthropic, Google), prompt engineering, cost/token optimization.
  • Strong ML fundamentals: anomaly detection, classification, clustering, embeddings, evaluation metrics.
  • Experience with big data frameworks (Spark, BigQuery, or similar).
  • Ability to work with very large datasets (millions+ of records).
  • Version control skills (GitHub/Bitbucket).
  • Excellent communication in English, both technical and non-technical.
**Nice-to-Have Skills**
  • Prior experience in data quality automation or web data QA.
  • Familiarity with LangChain, MCP, Marvin, or similar orchestration frameworks.
  • Experience building QA dashboards or visualization layers.
  • Background in statistics or applied mathematics.
  • Previous remote/distributed work experience.

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