Applied AI Data Scientist for Legal Tech (Hybrid)

DLA Piper; Phoenix (AZ); Hybride; USD 130 000 - 206 000; Plein temps

Avantages offerts par ce poste

Hybrid work schedule

Medical, dental, and vision insurance

401(k) retirement plan

Résumé du poste

DLA Piper is seeking a Data Scientist, Applied AI Solutions to collect, explore, and analyze large datasets to improve business and client outcomes. The role designs and deploys data models, algorithms, and ML solutions; translates legal and regulatory needs into analytic approaches; and develops testing methods for AI systems with bias and accuracy checks.

Working with lawyers, clients, and cross-functional teams, you will deliver data-driven solutions with measurable business impact and a

Qualifications

• Bachelor’s degree in a relevant field with strong data science foundations.
• Demonstrated experience delivering data-driven client solutions.
• Experience with production ML models at scale and in consulting environments.

Responsabilités

• Develops and applies algorithmic testing methods to evaluate AI systems for bias and accuracy.
• Designs testing frameworks and benchmarks for emerging AI systems and risks.
• Translates legal, regulatory, and business requirements into analytic objectives and data specs.
• Collaborates with lawyers, clients, and teams to leverage data for business and regulatory needs.
• Manages multiple data science projects with delivery quality and timelines.
• Builds, deploys, and supports production machine learning models at scale.

Connaissances

Machine learning

Python

SQL

Azure

Data analysis

Communication

Formation

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

Outils

Python

R

SQL

SAS

NLTK

Scikit-Learn

Excel

Tableau

Power BI

Jupyter

Hadoop

Azure

Description du poste

DLA Piper is seeking a Data Scientist, Applied AI Solutions to collect, explore, and analyze large datasets to improve business and client outcomes. The role designs and deploys data models, algorithms, and ML solutions; translates legal and regulatory needs into analytic approaches; and develops testing methods for AI systems with bias and accuracy checks.

Working with lawyers, clients, and cross-functional teams, you will deliver data-driven solutions with measurable business impact and a