Data Domain Architect Assoc - Conversation Analysis, Annotation

Job Description

Join us for an exciting opportunity to leverage your data annotation skills in the financial industry and contribute to cutting-edge machine learning models. As a Data Domain Architect Associate within the Consumer & Community Banking team, you will conduct data annotation to evaluate and train machine learning models. You will apply your technical knowledge and problem-solving skills across multiple applications, supporting data quality and summarization to enable Operations Management to achieve strategic objectives while ensuring compliance with all controls, policies, and procedures. Job responsibilities Annotate banking domain text data for machine learning models using various data labeling tools and guidelines. Analyze structured and unstructured text data, identify labels through context and disambiguation, and annotate with the correct label. Understand the nuances of language used in the financial industry and stay updated with the business aspects of products. Validate business results from a model perspective and provide feedback for model improvement. Conduct retrospective data analyses and contribute to clarifying business definitions and concepts. Provide feedback and suggestions for tool improvements to enhance efficiency and accuracy. Work closely with stakeholders, including machine learning engineers, data scientists, data engineers, and product managers across Chases lines of businesses. Required qualifications, capabilities, and skills Bachelors or Masters degree in Statistics, Engineering, Computer Science, Information Technology, Finance, or a related field. Three years of hands-on experience working with data as a data analyst, data annotator, or data architect. Basic understanding of AI/ML with expertise in text data labeling processes and quality control. Analytical and problem-solving skills, along with good project management skills (self-driven, well-organized, ability to meet tight deadlines). Experience using at least one annotation tool. Intermediate experience with Microsoft Office suite. Preferred qualifications, capabilities, and skills Understanding of LLM and Gen AI concepts. Excellent verbal and written communication skills to clearly present analytical findings and business recommendations to global stakeholders. Familiarity or experience with Data Analytics and Visualization.