Data Scientist, Applied AI for Legal Tech (Hybrid)

DLA Piper; Short Hills (NJ); Hybrid; USD 130,000 - 206,000; Full time

Job summary

DLA Piper, a leading global law firm, seeks a Data Scientist, Applied AI Solutions to explore large datasets, design models, and translate legal and regulatory requirements into actionable analytics. You will collaborate with lawyers and clients to deliver data-driven outcomes at scale.

Responsibilities include developing ML solutions for privilege review, building production models, and communicating insights to non-technical audiences while upholding governance and data-protection standards.

Qualifications

• Bachelor's degree in computer science, data science, statistics, or related field.
• 5 years of relevant experience applying data science and ML to business problems.
• Experience building and deploying production ML models at scale.
• Experience in a law firm or legal-services environment preferred.

Responsibilities

• Develops and applies algorithmic testing methods to evaluate AI systems for bias and accuracy.
• Designs and deploys production ML models at scale.
• Translates legal and regulatory requirements into analytic objectives and data specs.
• Collaborates with lawyers, clients, and cross-functional teams to identify data opportunities.
• Communicates findings to non-technical audiences and documents methodologies.

Skills

Python

SQL

Machine learning

Data pipelines

Communication skills

Education

Bachelor's degree in computer science or related field

Tools

Azure AI services

Jupyter

Scikit-Learn

Tableau/Power BI

SAS

Job description

DLA Piper, a leading global law firm, seeks a Data Scientist, Applied AI Solutions to explore large datasets, design models, and translate legal and regulatory requirements into actionable analytics. You will collaborate with lawyers and clients to deliver data-driven outcomes at scale.

Responsibilities include developing ML solutions for privilege review, building production models, and communicating insights to non-technical audiences while upholding governance and data-protection standards.