DLA Piper

Data Scientist

Reston, VA, US$112,879-$179,481Posted 21 days ago

Job Description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let’s see what we can achieve. Together.

Summary

Position is responsible for data collection, data exploration and using large data sets to find opportunities for improving business outcomes. Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of different courses of action.

Location

This position can sit in any of our US offices.

Responsibilities

  • Works with internal stakeholders and clients to identify opportunities for leveraging organizational data to drive business solutions.
  • Prioritizes, scopes and manages data science projects for internal stakeholders and clients.
  • Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Applies the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Identifies patterns and looks for opportunities for optimization.
  • Develops custom data models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize client opportunities and business outcomes.
  • Writes computer programs and analyzes large datasets to uncover answers to complex problems.
  • Develops testing frameworks and tests model quality.
  • Coordinates with different functional teams to identify and implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze modeling performance and data accuracy.
  • Establishes best practices for data

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