Data Quality Expert

2 weeks ago

Cupertino, California, United States Grid Dynamics Full time
Job Description

We are seeking a highly skilled Data Quality Expert to join our team at Grid Dynamics. As a member of our big data analytics team, you will play a critical role in developing and implementing top-notch data quality solutions for our clients.

Responsibilities:
  • Design, develop, and oversee the implementation of processes and tools to assess the quality of data used in machine learning model training.
  • Create metrics and KPIs to evaluate data accuracy, consistency, and relevance.
  • Work with engineering teams to develop automated logic checks that identify inconsistencies and potential issues in the training data.
  • Lead the integration of quality processes into existing data pipelines.
  • Collaborate with data scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
  • Provide feedback loops and ensure alignment of data quality with annotation guidelines.
  • Engage with machine learning engineers to determine how data quality variations influence LLM model performance.
  • Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis.
Requirements:
  • 7+ years of design/test/implementation/consulting experience in data quality management for machine learning model training.
  • Strong understanding of machine learning principles, especially in the context of NLP and LLMs.
  • Fundamental knowledge in relevant programming languages and tools (e.g., Python, SQL).
  • Demonstrated experience in project management and cross-functional collaboration.
  • Exceptional analytical, problem-solving, and organizational skills.
  • Proven ability to think strategically about business, product, and technical challenges.
  • Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.

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