Job Description

Salary: $217,520 - 415,760 per year Requirements:

• A Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or a similar quantitative field.
• A minimum of 10 years of progressively responsible experience in predictive analytics or data analysis, including at least 6 years in training and validating statistical, physical, machine learning, and advanced analytics models.
• At least 6 years of experience with a dynamic scripted language (such as Python or R), focusing on developing clear, well-documented, and commented code for transparency.
• Subject matter expertise in classical supervised modeling concepts and technologies like linear/logistic models, discriminant analysis, support vector machines, decision trees, and forest models.
• Expertise in unsupervised modeling techniques such as k-means clustering, hierarchical clustering, neighbor algorithms, and DBSCAN.
• Extensive hands-on experience in building, deploying, and managing advanced analytics solutions, with a proven track record of delivering innovative solutions that enhance business value.
• Strong project management experience, including the ability to foresee and manage project milestones, risks, and obstacles effectively.
• Demonstrated capability to communicate and escalate any potential issues to leadership appropriately, while guiding and mentoring junior technical staff.
• Significant experience influencing complex technology decisions for both technical and nontechnical audiences across all levels and in cross-functional teams.
• Proven experience leading business or product/portfolio transformations using advanced analytics.

Responsibilities:

• Identify, research, and define large-scale, cross-functional AI/ML use cases in partnership with business leaders and executive peers.
• Oversee the complete development process for scalable, efficient, automated AI/ML solutions.
• Apply deep expertise to enhance modeling techniques related to emerging business initiatives.
• Collaborate with IT architects to design, implement, monitor, and scale advanced AI/ML solutions that evolve prototypes into innovative products, services, and features.
• Ensure AI/ML solutions are developed following the best practices and sound methodologies of the industry.
• Work with model risk partners to cultivate a culture of compliance with regulatory standards.
• Design extensive, complex information assets that facilitate applied analytics.
• Partner with engineering and data architects to maintain well-governed, documented, and controlled datasets from both internal and external sources.
• Seek opportunities to simplify, modernize, and standardize the model development lifecycle.
• Provide expert technical support by assessing vendor acquisitions.
• Lead or participate in communities of practice, talent development initiatives, and technical interview panels to uplift recruitment standards.
• Clearly convey intricate analytical and technical concepts to diverse audiences, fostering data literacy and shaping business priorities.
• Provide technical supervision for the creation and upkeep of a reliable library of reusable, production-quality algorithms and supporting code.
• Build and sustain academic and industry relationships for research initiatives.
• Represent the company at significant internal and external technology and advanced analytics conferences.
• Ensure all risks associated with business operations are effectively identified, assessed, monitored, and managed in line with risk and compliance policies.

Technologies:

• AI
• Support
• Machine Learning
• Phoenix
• Python
• Security

More:

At USAA, we are dedicated to empowering our members to achieve financial security through competitive products, exceptional service, and trustworthy advice. We strive to be the top choice for the military community and their families. Joining our team means embracing our core values of honesty, integrity, loyalty, and service, which shape how we interact with one another and with our members.

This opportunity as a Principal Data Scientist involves applying your technical skills and industry experience to enhance artificial intelligence and machine learning applications across various USAA operations. You will be instrumental in driving intelligent automation and personalization initiatives while identifying innovative analytics opportunities. Our work environment is flexible, requiring you to be in the office four days a week, with positions available in several locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, and Tampa, FL. We provide relocation assistance for this role.

We offer a competitive salary range of $217,520 - $415,760, with compensation determined by your experience and market data. Additional benefits include comprehensive healthcare coverage, retirement plans, life insurance, parental support, paid time off, and ongoing career development assistance. Applications are accepted on an ongoing basis until the position is filled. We are an Equal Opportunity Employer and welcome all qualified candidates.

last updated 45 week of 2025

Job Tags

Ongoing contract, Full time, Work at office, Relocation package, Flexible hours,

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