Applied AI Data Scientist for Legal Tech & Impact

DLA Piper; Boston (MA); Hybrid; USD 130,000 - 206,000; Full time

Job summary

DLA Piper seeks a Data Scientist, Applied AI Solutions to collect, explore, and analyze large datasets, designing and deploying data models and ML solutions. You will translate legal and business needs into analytic approaches and develop testing methods for AI systems, working with lawyers, clients, and cross-functional teams.

This role sits in any U.S. office with a hybrid schedule, requiring strong Python/SQL coding, data governance, and collaboration across consulting and legal workflows.

Qualifications

• Bachelor's degree in CS, data science, statistics, applied mathematics or related field.
• 5 years of relevant experience applying data science and ML techniques to complex problems.
• Experience delivering data science solutions in a consulting or professional-services setting.

Responsibilities

• Develops and applies algorithmic testing methods to evaluate AI systems and models.
• Translates business, legal, and regulatory requirements into analytic objectives and testable criteria.
• Builds, deploys, and supports production ML models at scale and monitors performance.
• Communicates findings and actionable insights to technical and non-technical audiences.
• Coordinates with legal, technical, and business teams to implement solutions and refine models.

Skills

Python

SQL

Machine learning

Data science

Azure

Tableau

Power BI

Jupyter

Analytical thinking

Communication

Education

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field

Tools

Azure

Tableau

Power BI

Jupyter

SAS

Job description

DLA Piper seeks a Data Scientist, Applied AI Solutions to collect, explore, and analyze large datasets, designing and deploying data models and ML solutions. You will translate legal and business needs into analytic approaches and develop testing methods for AI systems, working with lawyers, clients, and cross-functional teams.

This role sits in any U.S. office with a hybrid schedule, requiring strong Python/SQL coding, data governance, and collaboration across consulting and legal workflows.