Data Scientist

About Crosby AI

Crosby is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together — delivering speed, consistency, and quality across high-stakes work.

Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.

Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.

The Team

The Engineering team builds the core systems and infrastructure that power Crosby’s AI-first legal platform. We work at the intersection of machine learning, product, and legal expertise to deliver intelligent, reliable systems that operate in high-stakes environments.

We prioritize speed, ownership, and high standards — shipping quickly while maintaining rigor in everything we build.

The Role

As a Data Scientist at Crosby, you'll play a critical role in developing the models and data systems that power our AI-driven legal platform. You’ll work across the full lifecycle — from data definition and labeling strategy to model development, evaluation, and iteration in production.

You’ll partner closely with engineers, product teams, and legal experts to translate complex legal workflows into structured machine learning systems. Beyond modeling, you’ll help ensure our systems are accurate, reliable, and continuously improving in real-world use.

Responsibilities

1. Develop evaluation systems: Build metrics, benchmarks, and experimentation frameworks to measure and improve model performance.

2. Drive data strategy: Partner with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.

3. Support production systems: Work closely with engineering to deploy models, monitor performance, and iterate based on real-world usage.

4. Apply AI pragmatically: Leverage LLMs and other modern techniques to solve product problems, balancing sophistication with reliability and speed.

5. Collaborate cross-functionally: Partner with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.

Who You Are

1. 1–5 years of experience in data science, machine learning, or applied NLP, ideally in a fast-paced startup environment

2. Strong foundation in machine learning, statistics, and data analysis, with proficiency in Python

3. Hands-on experience working with LLMs, NLP systems, or unstructured text data

4. Experience working across the full ML lifecycle — from data curation and experimentation to deployment and monitoring

5. Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions

6. Strong communicator who can collaborate effectively with both technical and non-technical stakeholders

Equal Opportunity

Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the New York City Fair Chance Act.

Pursuant to New York Labor Law Section 194-b, the US Pay Range for this position is listed below. Final compensation will be determined based on skills, experience, and qualifications.

Compensation Range: $200k–$250k