We Hire America Jobs

Why USAA?

Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.

The Opportunity

Employer: USAA Federal Savings Bank

Tasks : Partner with other analysts across the organization to fully define business problems and research questions. Support SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrate and extract relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conduct advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Support Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Work with IT to research architecture for new products, services, and features. Develop algorithms and supporting code such that research efforts are based on the highest quality data. Translate complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. May telecommute. (Ref: 20972.69.4)

Requirements: Bachelor’s degree in Business Analytics, Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 4 years of experience in a data scientist or engineering-related occupation. Position requires:

• Developing models using Machine Learning techniques for Prediction, Classification and Segmentation: regression with regularization, Tree based Ensemble (Bagging- Random Forest, Boosting- CatBoost, AdaBoost, or XGBoost), Gaussian Mixture models, K-means/ KNN, Neural Network and Natural Language Processing (NLP) based models;

• End-to-end model development process from collaborating with cross-functional teams, collecting business requirements, data collection, model development, and validation and deployment;

• Developing statistical models and quantitative analysis for ad-hocs generating insights to support business functions;

• Coding languages and analytical tools for ML model development: Python and AWS Sagemaker;

• Big Data processing: Hadoop architecture;

• Data collection: Snowflake, Hive, Oracle, IBM Netezza, and Alteryx;

• Data Visualization: Tableau and Power BI; and

• Working with banking and related LOB's data, business processes, and risk management.

Worksite: 9800 Fredericksburg Road, San Antonio, TX 78288

Relocation assistance is Not Available for this position.

This position is eligible for the Employee Referral Program.

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 click on the link below for more details.

USAA Total Rewards (https://hrportal.ehr.com/usaa/Prospective-Employees)

#DNP

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

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.

If you are an existing USAA employee, please use the internal career site in OneSource to apply.

Please do not type your first and last name in all caps.

Find your purpose. Join our mission.

USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.

USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself – you just need to share our passion for serving our more than 13 million members.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.