Data Scientist

Crosby • New York, NY

5d

About The Position

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.

Requirements

• 1–5 years of experience in data science, machine learning, or applied NLP, ideally in a fast-paced startup environment
• Strong foundation in machine learning, statistics, and data analysis, with proficiency in Python
• Hands-on experience working with LLMs, NLP systems, or unstructured text data
• Experience working across the full ML lifecycle — from data curation and experimentation to deployment and monitoring
• Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions
• Strong communicator who can collaborate effectively with both technical and non-technical stakeholders

Responsibilities

• Develop evaluation systems: Build metrics, benchmarks, and experimentation frameworks to measure and improve model performance.
• Drive data strategy: Partner with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.
• Support production systems: Work closely with engineering to deploy models, monitor performance, and iterate based on real-world usage.
• Apply AI pragmatically: Leverage LLMs and other modern techniques to solve product problems, balancing sophistication with reliability and speed.
• Collaborate cross-functionally: Partner with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed