Data Scientist contributing to NLP tasks and AI models at Zenlaw. Collaborating with engineers and lawyers to enhance data abstraction and model accuracy.
Responsibilities
Research new techniques and frameworks for NLP tasks
Design new experiments for data abstraction and categorization of sentences/paragraphs
Work with our lawyers to review initial results and implement pre and post-processing scripts to improve the accuracy of models
Run data analysis on our dataset to design potential rules for annotation
Improve the architecture of data modeling and data tooling in partnership with Engineering and cross-functional business partners
Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
Requirements
Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
2+ years of industry work experience as an analyst, data scientist, or equivalent
Experience with training and deploying NLP deep learning models
Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization
Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions
Experience with reporting systems and data pipeline architecture
Demonstrated problem-solving experience with the ability to break down complex and unstructured problems into layman’s terms
An online sample of your analytical and/or data visualization abilities is greatly appreciated.
Benefits
Entrepreneurial responsibility and flat-hierarchies
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