Data Scientist
Core
Rectifying master data issues, testing data and NLP solutions, and supporting engineering teams to implement NLP in real-time systems.
Role type
Data Scientist (Data Quality & NLP)
Builds
Data-driven products with improved accuracy, consistency, and reliability
Domain
Legal services / Data Engineering / Natural Language Processing
Deliverable
production ML models | product features
Required skills
Master data rectification, data quality rule definition, dataset profiling, pipeline testing, NLP model testing, entity extraction, classification, similarity matching, language models
Preferred skills
Real-time system implementation, privacy and security governance
Technologies
NLP frameworks, data pipelines, APIs, real-time systems
Responsibilities
Investigate and fix master data issues (duplicates, inconsistencies, missing info), define data-quality rules and controls, profile datasets to identify root causes, design and execute testing for data pipelines and NLP models, apply NLP techniques for data processing, coordinate remediation with stakeholders