Data Scientist: AI & Predictive Modeling for Business Impact

DLA Piper; Reston (VA); Hybrid; USD 113,000 - 179,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Hybrid work arrangement

Job summary

DLA Piper is seeking a data science professional to harness large data sets to improve business outcomes. The role designs data modeling processes and develops algorithms, performing custom analysis to test actions.

Sitting in any US office, the position offers a hybrid work arrangement and involves collaborating with internal stakeholders to drive product development, marketing strategies, and client opportunities through AI and machine learning.

Qualifications

• Bachelor's degree in computer science, data science, statistics, applied mathematics or related field.
• Minimum 5 years of relevant data science experience in business context.
• Experience with advanced ML algorithms and statistics.
• Proficiency with Python, R, SQL, SAS and data visualization tools.
• Experience in professional services or law firm preferred; agile methodologies.

Responsibilities

• Identify opportunities to leverage data to drive business solutions.
• Manage data science projects and coordinate with stakeholders.
• Mine and analyze data to optimize product development, marketing and strategy.
• Develop custom data models and predictive algorithms.
• Validate models and monitor performance and data quality.
• Communicate actionable insights to non-technical audiences.
• Establish best practices for data analysis and reporting.

Skills

Data science

Machine learning

Python

R

SQL

Statistics

Big data tools

Communication skills

Project management

Presentation skills

Education

Bachelor's degree in computer science or related field

Tools

Python

R

SQL

SAS

Tableau

Power BI

Jupyter

Hadoop

Azure

Job description

DLA Piper is seeking a data science professional to harness large data sets to improve business outcomes. The role designs data modeling processes and develops algorithms, performing custom analysis to test actions.

Sitting in any US office, the position offers a hybrid work arrangement and involves collaborating with internal stakeholders to drive product development, marketing strategies, and client opportunities through AI and machine learning.