- Страна
- США
- Зарплата
- 200 000 $ – 250 000 $
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Data Scientist
Оценка ИИИсключительная вакансия с очень высокой зарплатой, поддержкой топовых венчурных фондов (Sequoia, Index) и работой над передовыми AI-технологиями в Нью-Йорке.
Сложность вакансии
Оценка ИИРоль требует глубоких знаний в области NLP и LLM, а также умения работать в быстром темпе стартапа. Высокая планка ответственности обусловлена спецификой юридической сферы, где точность данных критична.
Анализ зарплаты
Оценка ИИПредлагаемый диапазон $200k–$250k значительно выше среднего по рынку Нью-Йорка для специалистов с опытом 1–5 лет, что отражает высокий уровень ответственности и престижность компании.
Сопроводительное письмо
I am writing to express my strong interest in the Data Scientist position at Crosby. With my background in applied NLP and experience working with large language models, I am particularly drawn to Crosby’s mission of reimagining corporate legal services through an AI-first approach. Having worked in fast-paced environments, I understand the importance of balancing sophisticated modeling with the pragmatic reliability required for high-stakes legal workflows.
In my previous roles, I have managed the full ML lifecycle, from designing labeling strategies for unstructured text to deploying and monitoring models in production. I am impressed by Crosby’s commitment to human-in-the-loop systems and am eager to apply my skills in building robust evaluation frameworks and data pipelines to enhance your legal platform. I look forward to the possibility of contributing to a team backed by such prestigious partners as Sequoia and Index Ventures.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в crosby уже сейчас
Присоединяйтесь к команде Crosby и создавайте будущее юридических технологий вместе с лидерами индустрии!
Описание вакансии
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
- 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.
Who You Are
- 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
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
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- Data Analysis
- Python
- Machine Learning
- LLM
- Statistics
- NLP
- Data Pipelines
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными языковыми моделями, что является ядром продукта.
Расскажите о вашем опыте тонкой настройки (fine-tuning) или оперативного проектирования (prompt engineering) LLM для работы с узкоспециализированными текстами.
В юридической сфере точность важнее всего; важно понять, как кандидат измеряет успех.
Как бы вы спроектировали систему оценки (evaluation framework) для модели, которая должна находить риски в сложных юридических контрактах?
Вакансия подразумевает работу с разметкой данных совместно с юристами.
Опишите случай, когда вам приходилось переводить сложные бизнес-требования в техническую стратегию разметки данных. Как вы обеспечивали качество?
Проверка навыков работы с неструктурированными данными, характерными для юридических документов.
С какими основными трудностями вы сталкивались при обработке длинных и сложных неструктурированных текстовых документов?
Crosby — стартап на ранней стадии, где важна скорость и автономность.
Приведите пример проекта, где вам пришлось самостоятельно принимать решения в условиях неопределенности и ограниченного времени.
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- Страна
- США
- Зарплата
- 200 000 $ – 250 000 $