Why USAA? Job Description Summary Let’s do something that really matters. At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members. We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special! The Opportunity As a dedicated Data Scientist Principal , you will leverage technical expertise and industry experience to influence the application, scalability, and enablement of artificial intelligence/machine learning (AI/ML) at USAA. Identifies novel opportunities for advanced analytics solutions, effectively communicates with business leaders, product teams, and other key stakeholders and guides end-to-end solution development, IT implementation, and business adoption. Provides strategic guidance to executive leadership by seeking, vetting, proposing, and enabling “best in class” tools and technologies. Collaborates with IT Architecture and leadership to ensure data and analytics tools are consistent with USAA’s strategic vision. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can work remotely in the continental U.S. with occasional business travel or on our San Antonio, TX Campus . Relocation assistance Not available for this position. What you’ll do: Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners. Guides end-to-end efforts to develop scalable, efficient, highly-performant, automated AI/ML solutions. Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives. Collaborates with IT architects to design, implement, monitor, and scale cutting-edge AI/ML solutions that translate prototypes into novel products, services, and features. Ensures that AI/ML solutions are built using industry best practices, and sound methodology. Works with model risk partners to promote a culture of regulatory compliance. Designs large, complex information assets that enable applied analytics. Collaborates with engineering, data, and information architects to establish and maintain well-governed, documented, and controlled datasets from internal and external, structured, and unstructured sources. Seeks opportunities to simplify, modernize, and standardize the model development lifecycle. Provides expert technical advice and guidance by vetting vendor acquisitions. Actively raises the bar on talent and recruitment by leading or participating in communities of practice, talent development initiatives, and technical interview panels. Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data literacy and informs business priorities. 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. Represents USAA in key internal/external technology and advanced analytics conferences. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor’s 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, to include 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. Subject matter expert in the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions. Proven track record of providing cutting-edge solutions that drive business adoption and value. Extensive project management experience and can anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating and escalating potential impediments and limitations to leadership. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics. What sets you apart: US military experience through military service or a military spouse/domestic partner 5 or more years of experience in developing and executing a holistic AI strategy that accelerates achievement of an organization’s business strategy, to include developing the multi-year execution roadmap, gaining sponsorship and funding from Senior and C-Suite Executives, and partnering with Technology and Business partners to successfully implement. Experience successfully implementing a framework to identify AI/ML use case opportunities, measure expected benefits, and evaluate potential risks and mitigation. Knowledge of the Insurance Industry including applicable laws and regulations Experience leading efforts to enhance the overall AI literacy of an organization. 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. What we offer: 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 data of the position. The actual salary for this role may vary by location. The salary range for this position is: $182,680 – $349,150. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. 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. For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com. 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.
Finance dbscan Data Analyst statistics Artificial intelligence (AI) data-management Data Science Python Personnel development R Support Vector Machines (SVMs) principal modeling Linear models risk management Information technology (IT) economics Machine Learning ML models Engineering Predictive analytics Project management Insurance industry