Data Scientist developing network - based financial - crime detection for TD Bank. Building models, visualizations, and decision - support tools to prioritize high - risk customer connections.
About the role
- 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
- Ownership of your work
- Position 100% remote
- Open-minded variety of nationalities
- A collaborative, open workplace
- Team Events
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