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Data Scientist Principal

ExecutivePlacements.com

$217,520 - $415,760
Nov 9, 2025
Tampa, FL, United States of America
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USAA is looking to leverage artificial intelligence/machine learning (AI/ML) across its enterprise, including key bank operations such as call center optimization, complaints program analytics, and digital servicing enhancements.

Requirements

  • 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.)
  • Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction
  • Subject matter expert in the concepts and technologies associated with unsupervised modeling
  • Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions
  • Applied expertise in machine learning, NLP, and generative AI
  • Proven leadership in technology research, strategy, and enterprise-scale implementation
  • Strong ability to translate business needs into technical solutions

Responsibilities

  • Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners.
  • Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives.
  • Ensures that AI/ML solutions are built using industry best practices, and sound methodology.
  • Designs large, complex information assets that enable applied analytics.
  • Seeks opportunities to simplify, modernize, and standardize the model development lifecycle.
  • Provides technical oversight for building and maintaining a robust library of reusable, production-quality algorithms and supporting code.
  • Develops and maintains academic and industry relationships for research purposes.

Other

  • Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline
  • 10 years of progressive experience in predictive analytics or data analysis
  • Extensive project management experience
  • Demonstrated experience in guiding and mentoring junior technical staff
  • Must be in the office 4 days per week