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Data Scientist - Remote

Posted Yesterday
Data Analysis
Contract
USA
Data Science
NLP
Python
SQL
Machine Learning
Deep Learning
Data Analysis
Data Visualization

Overview

As a Data Scientist at Zenlaw, you will work with our engineering team to model complex problems and identify high-impact opportunities using data to guide initiatives.

In Short

  • Research new techniques and frameworks for NLP tasks
  • Design new experiments for data abstraction and categorization of sentences/paragraphs
  • Collaborate with lawyers to review results and improve model accuracy
  • Run data analysis to design potential rules for annotation
  • Enhance data modeling architecture in partnership with Engineering
  • Own projects and deliver innovative solutions

Requirements

  • Bachelor's in Statistics, Mathematics, Computer Science, or related field
  • 2+ years of experience as an analyst or data scientist
  • Experience with NLP deep learning models
  • Exceptional skills in Python, SQL, and data analysis
  • Excellent English communication skills
  • Experience with reporting systems and data pipeline architecture
  • Strong problem-solving abilities
  • Online sample of analytical skills appreciated
  • Nice to have: Experience with Golang, Git, SpaCy, Transformers, PyTorch
  • Master’s Degree in a quantitative field preferred

Benefits

  • Entrepreneurial responsibility and flat hierarchies
  • Ownership of your work
  • 100% remote position
  • Diverse workplace
  • Collaborative environment
  • Team events

Zenlaw

Zenlaw

Zenlaw is an innovative company on a mission to modernize contracts and long documents using artificial intelligence. Founded in early 2021, Zenlaw aims to make complex documents intelligible by abstracting key information and detailing content for easier manipulation. With applications across various industries including Real Estate, Finance, and Insurance, Zenlaw is rapidly growing and seeks to build a diverse and creative team. The company fosters a collaborative and open workplace, offering remote positions and encouraging entrepreneurial responsibility among its employees.

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