Data Scientist Lead (Pricing Methodology)

Purpose of JobWe are currently seeking a talented Data Scientist Lead (Pricing Methodology) to work in a Remote Work Environment (Work at Home) or in a Hybrid environment at one of our locations in San Antonio, Plano, Phoenix, Colorado Springs, Tampa, or Chesapeake. This individual will be part of the Pricing Solutions and Methods team and will be accountable for (1) driving methodology improvements to deliver new pricing insights, (2) applying modern data science techniques to traditional pricing problems, and (3) helping upskill the technical abilities of our teams. Please review the Preferred Experience section to further understand what we are looking for.

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.


PRIMARY RESPONSIBILITIES

Identifies and manages existing and emerging risks that stem from business activities and the job role.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
Follows written risk and compliance policies, standards, and procedures for business activities.
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, and can 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.


MINIMUM REQUIREMENTS

Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or a related field; OR 6 additional years of related experience beyond the minimum required.
8 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).
Extensive background in data mining and statistical analysis.
Excellent pattern recognition and predictive modeling skills.
Knowledge and application of Data Science principals and experience with data science methodologies.
Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers organization.
Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.


PREFERRED QUALIFICATIONS

Experience building tree-based models (GBMs, Random Forests), Generalized Additive models (GAMs), or penalized regression models in a personal lines pricing context
Experience using interpretable Machine Learning techniques such as Shapley values
Experience modeling the components of Lifetime Value
Experience with Snowflake
Strong Python coding skills

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.


COMPENSATION

USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location). Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.

*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. Shift Premium will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.


BENEFITS

At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. Please visit
USAA Total Rewards
for more details.

Relocation assistance is
not

available
for this position.




USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.