Crosby→
Data Scientist at Crosby in New York, NY
Entry LevelOn-siteNew York, NY$200k–$250k/yr
Skills
machine learningstatisticsdata analysispythonlarge language models (llms)natural language processing (nlp)unstructured text datamachine learning lifecycledata curationexperimentation frameworksmodel deploymentmodel monitoring
Job Description
Summary: Crosby is an AI-first legal platform reimagining corporate legal services. As a Data Scientist, you will develop models and data systems that power the AI-driven legal platform, collaborating with engineers and legal experts to translate complex workflows into structured machine learning systems.
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
Required Qualifications:
- 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
Required Skills: Machine Learning, Statistics, Data Analysis, Python, Large Language Models (LLMs), Natural Language Processing (NLP), Unstructured Text Data, Machine Learning Lifecycle, Data Curation, Experimentation Frameworks, Model Deployment, Model Monitoring