Über
Position Summary
We are seeking a talented and driven Data Scientist (AI/NLP). to join our technology team. This is a high-impact, cross-functional role at the intersection of data science, artificial intelligence, and legal operations. You will develop and deploy advanced NLP and machine learning solutions that transform how the firm manages, retrieves, and leverages its institutional knowledge and legal documents.
This position partners closely with attorneys, legal professionals, and firm leadership to identify opportunities where AI and data science can deliver measurable value - from automating document workflows to building intelligent knowledge management systems.
Essential Duties and Responsibilities
Design, develop, and deploy machine learning and NLP models to support document understanding, contract analysis, legal research, and knowledge extractionBuild and maintain intelligent knowledge management systems that organize, surface, and operationalize the firm's institutional knowledge and precedent libraryApply state-of-the-art large language models (LLMs) and generative AI tools to legal workflows, including document classification, summarization, entity extraction, and semantic searchPartner with attorneys and business professionals to translate complex legal requirements into structured data science solutionsWrite clean, production-quality code and build scalable data pipelines that integrate with firm systems and infrastructureEvaluate, implement, and continuously improve AI/ML tools, frameworks, and vendor solutions relevant to the legal industryDefine and track model performance metrics, communicate results clearly to both technical teams and business stakeholders, and drive iterative model improvementPresent findings, model outputs, and project updates clearly to both technical and non-technical stakeholdersContribute to the firm's AI strategy and governance by staying current on developments in legal AI, data privacy, and responsible use of AICollaborate with IT infrastructure, security, and application teams to ensure solutions meet firm standards for reliability, security, and compliance
Qualifications/Position Requirements
Direct experience working in a law firm, legal technology company, or enterprise NLP environmentDeep expertise in Natural Language Processing (NLP) - including text classification, named entity recognition, semantic similarity, summarization, and document parsingHands-on experience with LLMs and transformer-based architectures (e.g., GPT, BERT, or similar) and proficiency in Hugging Face and LangChain frameworksStrong proficiency in Python and relevant ML/data science libraries (scikit-learn, PyTorch, spaCy, etc.)Experience building and deploying end-to-end machine learning pipelines in production environmentsSolid understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) architecturesExperience defining and tracking model performance metrics (e.g., precision, recall, F1, ROUGE) to evaluate and communicate model effectiveness to technical and non-technical audiencesDemonstrated ability to manage and process large, unstructured datasetsFamiliarity with at least one major cloud platform (Azure, AWS, or GCP)Excellent communication skills with the ability to work across technical and non-technical teamsStrong analytical and problem-solving ability with a rigorous, detail-oriented approach
Education and/or Experience
Bachelor's or Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, or a related quantitative field5-7 years of experience in data science, machine learning, or AI engineering roles
Compensation
The expected base salary for this position ranges from $200,000-240,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, anticipated assignment, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. Davis Polk offers a competitive salary and comprehensive benefits package.
Sprachkenntnisse
- English
Hinweis für Nutzer
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