Data Scientist

Simpson Thacher & Bartlett LLP

. Deliver data-driven insights to Firm leadership, legal practices, the Knowledge Department and administrative functions .

Posted 9/25/2026full-timeNew York City • New York • United StatesJuniorMid-Level💰 $150,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

PandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Deliver data-driven insights to Firm leadership, legal practices, the Knowledge Department and administrative functions
Support legal teams and operational staff in using data to improve decision-making and the efficiency and effectiveness of client representations
Collaborate with Finance, Talent, Business Development, IT and other functional departments to analyze data and develop solutions
Develop regression and classification models using established and emerging data science methodologies
Chain, fine-tune and deploy pre-trained language models for NLP tasks including text classification, named entity recognition, summarization, clause and document generation, and question-answer exchanges
Design and deploy document segmentation and embedding approaches for information retrieval and retrieval augmented generation
Conduct advanced quantitative research using machine learning and natural language processing techniques
Configure practice-specific AI workflows and language technologies, including complex pipelines, prompt engineering, prompt chaining and text operations
Design and deploy visual reports and user interfaces that present quantitative insights to non-technical business professionals
Monitor advancements in LLMs, NLP, deep learning and machine learning and incorporate appropriate techniques into production models
Document development processes, codebase and best practices to support knowledge sharing and reproducibility
Partner with technical resources to refine data pipelines for recurring analyses and data-driven solutions
Handle projects requested by the CKIO and other executive staff

Requirements

What you’ll need

A bachelor’s degree required, preferably in data science, mathematics, statistics, computer science, engineering, finance or a related field
2+ years in a data science, machine learning engineering, artificial intelligence or equivalent role, or a PhD in a related field
Highly proficient with statistical programming, such as Python and R, and databases, such as SQL and Pinecone
Proven experience developing and validating linear and non-linear regression and classification models
Expertise in data transformation, data science and visualization libraries, such as pandas, scikit-learn, matplotlib and Seaborn
Experience with natural language processing and related libraries, such as Hugging Face’s Transformers, spaCy and NLTK preferred
Ability to design and develop object-oriented machine learning systems beyond Jupyter notebooks a plus
Solid understanding of deep learning frameworks such as TensorFlow or PyTorch a plus
Proficiency with version control systems such as Git or equivalent tools
Ability to translate business problems to technical logic and practical solutions
Ability to communicate complex results clearly to a non-technical audience
Proactive development and maintenance of technical knowledge in emerging data science areas
Experience in the legal field is a significant plus
Simpson Thacher will not sponsor applicants for work visas for this position