Data Scientist - AI, Modeling & Insights

dlapiper; United States; Hybrid; USD 113,000 - 179,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

DLA Piper is seeking a data science professional who will collect and explore large data sets to improve business outcomes across the firm. You will design modeling processes, develop algorithms, and apply AI techniques to drive actionable insights for clients and internal teams.

The role requires strong experience with machine learning and data visualization tools, and a background in a professional services environment is preferred. Hybrid work options in the US are available.

Qualifications

• Degree in a relevant field as listed in Education.
• 5 years of relevant experience applying data science techniques to business.
• Experience creating and using advanced machine learning algorithms and statistics.

Responsibilities

• Works with internal stakeholders to identify data-driven opportunities.
• Prioritizes and manages data science projects for stakeholders and clients.
• Mines and analyzes data to optimize product development and marketing strategies.
• Develops custom data models and algorithms for large datasets.
• Uses predictive modeling to improve client opportunities and outcomes.
• Develops testing frameworks and ensures model quality.
• Coordinates with cross-functional teams to implement models and monitor results.
• Establishes best practices for data analysis and reporting.

Skills

Python

R

SQL

Tableau

Power BI

Excel

Jupyter

Machine learning

Data mining

Neural networks

Education

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

Tools

SAS

Hadoop

Azure

NLTK

Scikit-Learn

Excel

Tableau

Power BI

Jupyter

Job description

DLA Piper is seeking a data science professional who will collect and explore large data sets to improve business outcomes across the firm. You will design modeling processes, develop algorithms, and apply AI techniques to drive actionable insights for clients and internal teams.

The role requires strong experience with machine learning and data visualization tools, and a background in a professional services environment is preferred. Hybrid work options in the US are available.