147 applicants

Company

Original Job Post

Simpson Thacher & Bartlett LLP · 1 week ago

Data Scientist

New York, NY

Full-time

Onsite

Mid Level

$145K/yr - $165K/yr

2+ years exp

Wonder how qualified you are to the job?

AdviceLegal

Insider Connection @Simpson Thacher & Bartlett LLP

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Support legal teams and relevant operational staff in delivering on opportunities to use data to drive decision-making and improve the efficiency and effectiveness of the Firm's client representations

Collaborate with Firm functional departments (e.g., Finance, Talent, Business Development, IT) to analyze data and develop solutions to support operational objectives

Develop regression and classification models using established and emerging data science methodologies

Chain, fine-tune, and deploy pre-trained language models (e.g., BERT, Llama3, etc.) to optimize performance on a range of NLP tasks, including text classification, named entity recognition, and generative tasks such as summarization, clause and document generation, and question-answer exchanges

Design and deploy document segmentation and embedding approaches to facilitate information retrieval and retrieval augmented generation (RAG)

Conduct advanced quantitative research, using machine learning (ML) and natural language processing (NLP) techniques to understand patterns in large volumes of data, identify relationships, detect data anomalies and classify data

Design and deploy highly visual reports and interactive user interfaces that surface quantitative insights in forms that are fit-for-purpose, modern and easily accessible

Stay current with the latest advancements in LLMs, NLP, Deep Learning, and ML research, implementing cutting edge techniques and incorporating them into production models as appropriate

Document development processes, codebase, and best practices to facilitate knowledge sharing and maintain a well-organized, reproducible environment

Partner with other technical resources to refine data pipelines for recurring classes of analysis and data-driven solutions

Handle projects on request under the direction of the CKIO, Director of Data Analytics, and other executive staff

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRSQLPineconeLinear RegressionNon-linear RegressionClassification ModelsData TransformationData Science LibrariesVisualization LibrariesPandasScikit-learnMatplotlibSnorkelSeabornTechnical LogicProactive LearningLegal Field ExperienceData Science ExperienceMachine Learning EngineeringArtificial IntelligenceNatural Language ProcessingMachine LearningObject-Oriented DesignDeep Learning FrameworksTensorFlowPyTorchVersion Control SystemsGit

Required

Highly proficient with statistical programming (e.g., Python, R) and databases (e.g., SQL, Pinecone)

Proven experience developing and validating linear and non-linear regression and classification models

Expertise in data transformation, data science and visualization libraries (e.g., pandas, scikit-learn, matplotlib, Snorkel, Seaborn)

Able to translate business problems to technical logic and practical solutions

Able to communicate complex results clearly to a non-technical audience

Proactively develops and maintains technical knowledge in emerging data science areas

Experience in the legal field is a significant plus

2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role

A bachelor's degree required, preferably in data science, mathematics, statistics, computer science, engineering, finance or a related field

Preferred

Experience with natural language processing and related libraries (e.g., Hugging Face's Transformers, spaCy, NLTK, and CoreNLP) 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 for code management and collaboration

Company

Simpson Thacher & Bartlett LLP

Simpson Thacher & Bartlett LLP is one of the world’s leading international law firms. The Firm was established in 1884 and has more than 1,000 lawyers.

Founded in 1884

New York, New York, USA

1,001-5,000 employees