Data Scientist

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March 29

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Zenlaw

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Zenlaw's AI organizes and monitors all your documents. File docs in seconds and reduce admin tasks by 90%. Goodbye chaos, lost documents and missed deadlines.

2 - 10 employees

Founded 2021

💰 $100k Seed Round on 2022-01

📋 Description

• At Zenlaw, we rely on data to guide our initiatives. • This data helps to mold both our long-term strategy and our day-to-day operations. • As a Data Scientist, you will be working with our engineering team to model complex problems and identify high-impact opportunities. • You will be part of a high-energy, fast-paced team responsible for supporting initiatives and working on our ground-breaking AI models. • Our full-stack Data Science Team uses Python for research and development. • Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. • As part of the team, you are free to use the approach you see fit while relying on your colleague’s previous experience and expertise. • 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 • Nice to have: Experience with Golang, and/or Git • Experience with SpaCy, Transformers, PyTorch, or similar NLP framework • Experience working with ontologies and knowledge graphs • Experience in MLOps • Master’s Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field

🏖️ Benefits

• Entrepreneurial responsibility and flat-hierarchies • Ownership of your work • 100% remote • Open-minded variety of nationalities • Collaborative, open workplace • Team Events