About this role
A candidate who enjoys bridging the gap between complex domain knowledge and technical implementation would find this role suitable. At Crosby, the firm is focused on being the first AI-native law firm, aiming to enhance legal services by combining human expertise with technology to deliver higher-quality work more quickly. The company is developing proprietary tools and human-in-the-loop workflows to change how corporate legal teams operate. This role exists to build the core data science and machine learning systems that power this AI-driven legal platform.
This Data Scientist will be instrumental in managing the entire machine learning lifecycle, from defining data strategies to deploying and monitoring models in a production environment. The work involves translating intricate legal workflows into structured machine learning systems, requiring close collaboration with legal experts and engineering teams. The goal is to ensure the resulting systems are accurate, reliable, and continuously improve performance in real-world legal applications.
Individuals who are highly analytical, possess strong problem-solving capabilities, and excel at communicating complex technical concepts to both technical and non-technical audiences would thrive in this position.
What you will do
- Develop evaluation systems, including metrics, benchmarks, and experimentation frameworks, to measure and enhance model performance.
- Drive the data strategy by collaborating with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.
- Support production systems by working with engineering to deploy models, monitor their performance, and iterate based on actual usage.
- Apply AI pragmatically by leveraging LLMs and other modern techniques to solve product problems while balancing reliability and speed.
- Collaborate cross-functionally with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.
What you need
- Candidates should possess 1 to 5 years of experience in data science, machine learning, or applied NLP, preferably within a fast-paced startup setting.
- A strong foundation in machine learning, statistics, and data analysis is required, along with proficiency in Python.
- Hands-on experience working with LLMs, NLP systems, or unstructured text data is necessary for success in this role.
- Experience spanning the full ML lifecycle, from data curation and experimentation to deployment and monitoring, is essential.
- The ideal candidate must be highly analytical with strong problem-solving skills, capable of transforming ambiguous problems into structured solutions.
- Strong communication skills are required to effectively collaborate with both technical and non-technical stakeholders.
Nice to have
- Experience in a fast-paced startup environment
Benefits
- Unlimited PTO
- Lunch & dinner in the office every day
- Medical insurance (multiple plan options through Anthem & Cigna)
- HSA or FSA, depending on your plan choice
- Dental insurance
- Vision insurance
- 401(k) match
- In-office desk setup stipend
Skills and tech stack
Questions candidates ask
What is the remote policy?
The job is listed as FullTime and the location is New York City. Benefits include lunch and dinner in the office every day.
What is the salary range?
The salary offered for this position ranges from $200K to $300K, and the role also offers Equity.
What is the team structure like?
The role requires partnering closely with engineers, product teams, and legal experts to deliver end-to-end systems.
What is the hiring process like?
Final compensation will be determined based on skills, experience, and qualifications.