Company Name:-
USAA

Job Location:-
San Antonio, TX 78288 (Downtown area)

Job Summary:-
Purpose of Job
We are seeking a talented Data Scientist II for our San Antonio facility.

This person may also work remotely in a 100% Remote Work Environment.

Within defined guidelines and framework, uses techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions.

Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.

Translates complex analytical and technical concepts to non-technical employees.

The candidate selected for this position will work with the Chief Administrative Office’s Enterprise Data Spoke.

As such, we engage in AI/ML modeling efforts for contracting, security, cybersecurity, enterprise risk, IT operations, the innovations office, and other Enterprise offices lacking modeling capability.

Much of the work is replacing monotonous tasks with machines achieving returns on investment of 20:1 or higher.

We also engaged in state-of-the- research with Universities to deliver new capabilities to the enterprise.

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.

USAA Careers – World Class Benefits (31 seconds)
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 and procedures for business activities.

In partnership with SMEs, learns to define the business problem and works with experienced data scientists to select the appropriate model.

Extracts features from structured and unstructured data (internal and external).

With guidance, conducts advanced analytics: predictive modeling, Machine Learning, and optimization.

Works with Data Engineering/IT partners to develop architectures for new pr

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