Remote NLP Data Scientist — AI for Legal Tech

Zenlaw; New York (NY); Remote; USD 80,000 - 130,000; Full time

Benefits offered by this job

Entrepreneurial responsibility and flat-hierarchies

Ownership of your work

Team Events

A collaborative, open workplace

Job summary

A dynamic technology company is seeking a passionate Data Scientist to work on groundbreaking AI models. You will collaborate with engineering teams to model complex problems and implement innovative solutions. The ideal candidate has a strong background in NLP, advanced Python skills, and a commitment to ownership and collaboration. This is a fully remote position, suited for individuals who thrive in fast-paced startups.

Qualifications

• 2+ years of industry work experience as an analyst, data scientist, or equivalent.
• Experience with reporting systems and data pipeline architecture.
• An online sample of your analytical and / or data visualization abilities is greatly appreciated.

Responsibilities

• Research new techniques and frameworks for NLP tasks.
• Work with our lawyers to review initial results and improve model accuracy.
• Improve the architecture of data modeling and data tooling.

Skills

Experience with training and deploying NLP deep learning models

Exceptional skills in Python

SQL skills

Excellent written and oral English communication skills

Demonstrated problem-solving experience

Education

Bachelor in Statistics, Mathematics, Computer Science, or related field

Graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field

Tools

SpaCy

Transformers

PyTorch

Git

Job description

A dynamic technology company is seeking a passionate Data Scientist to work on groundbreaking AI models. You will collaborate with engineering teams to model complex problems and implement innovative solutions. The ideal candidate has a strong background in NLP, advanced Python skills, and a commitment to ownership and collaboration. This is a fully remote position, suited for individuals who thrive in fast-paced startups.