Overview

We are currently seeking a talented Lead Data Scientist for one of the following locations: Plano, Phoenix Campus or San Antonio Home Office I.

Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions; Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought-leaders to ensure enterprise has access to cutting-edge thinking and technologies.

Job Requirements

About USAA

USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.

In each of the past five years, we’ve been a top-40 Fortune 100 Best Companies to Work For®, and we’ve ranked among Victory Media’s Top 10 Military Friendly® Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply.

USAA Careers – Award Winning Workplace (17 seconds)

USAA Careers – World Class Benefits (31 seconds)

Tasks
Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; Leads cross functional, matrixed teams to solve highly complex work critical to the organization.
Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Builds and maintains a robust library of reusable algorithms and supporting code such that research efforts are based on the highest quality data, are transparently conducted, are able to be productionized and are reproducible.
Provides guidance regarding analytical approach and iteration of algorithms to team members.
Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.
Develops and maintains academic and industry relationships for the purposes of research; Interacts with internal and external peers and management to maintain expertise and awareness of cutting edge techniques, technologies and potential business solutions.

Company:

USAA

Qualifications:

Minimum Education
Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field (6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree)

Minimum Experience
8 or more Years in predictive modeling, large data analysis and computer science
Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis)
Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby)
A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent)

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

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