200+ applicants

Company

Original Job Post

Simpson Thacher & Bartlett LLP · 6 days ago

Data Scientist

NYC Metro Area

Full-time

Hybrid

Entry, Mid Level

$145K/yr - $165K/yr

2+ years exp

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Responsibilities

Support legal teams and relevant operational staff in delivering on opportunities to use data for decision-making and improving efficiency

Collaborate with Firm functional departments to analyze data and develop solutions

Develop regression and classification models using data science methodologies

Fine-tune and deploy pre-trained language models for NLP tasks

Design and deploy document segmentation and embedding approaches

Conduct advanced quantitative research using ML and NLP techniques

Design visual reports and user interfaces for quantitative insights

Stay current with advancements in LLMs, NLP, Deep Learning, and ML research

Document development processes, codebase, and best practices

Refine data pipelines for recurring classes of analysis

Handle projects under the direction of executive staff

Qualification

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Statistical ProgrammingDatabasesRegression ModelsClassification ModelsData TransformationData Science LibrariesData Visualization LibrariesMachine Learning Systems DesignDeep Learning FrameworksVersion Control SystemsTechnical Knowledge DevelopmentLegal Field ExperienceData Science ExperienceNatural Language ProcessingHugging Face TransformersSpaCyNLTKCoreNLPDeep LearningInformation Retrieval

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)

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

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

Prior coursework in deep learning, natural language processing, or information retrieval a significant plus

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