About this opportunity
Zenlaw lists this Data Scientist (Remote) opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About us
We're on a mission to bring contracts and any other long documents to the 21st century!
We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily.
We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible.
Position 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.
As a Data Scientist, you will :
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.
We are looking for a passionate Data Scientist with :
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
You care about :
Ownership : you easily communicate ideas, implement them, and take responsibility for your actions
Helping others : sharing knowledge with your colleagues is on top of your priorities
Fast‑paced startups : you love adapting to different situations, and you know how and when to iterate fast and with high quality
Our product : you believe in our vision, and are willing to give your best to build the future of Zenlaw
What we offer you :
Entrepreneurial responsibility and flat‑hierarchies
Ownership of your work
Position 100% remote
Open‑minded variety of nationalities
A collaborative, open workplace
Team Events
This is a remote position that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.