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Lead Data Scientist, Banking AI/ML
$217,520 - 415,760
USAA
Fredericksburg Road 9800, SAN ANTONIO
$217,520 - 415,760
Requirements
Must:
- Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or a related quantitative field.
- 10 years of progressive experience in predictive analytics or data analysis, including 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- 6 years of experience with at least one dynamic scripting language (such as Python or R), focusing on writing clear, well-documented code with necessary comments for logic explanation.
- Expertise in classical supervised modeling for predictions, including linear/logistic models, discriminant analysis, support vector machines, and decision trees.
- Expertise in unsupervised modeling techniques like k-means clustering and hierarchical clustering.
- Extensive hands-on experience with building, deploying, and managing the performance of advanced analytics solutions.
- Proven history of delivering innovative solutions that enhance business adoption and value.
- Significant project management experience with the ability to foresee and effectively address project milestones, risks, and challenges.
- A track record of clear communication and escalation of potential issues to leadership.
- Experience in guiding and mentoring junior technical staff in business interactions and model development.
- Demonstrated ability to convey complex technology decisions to both technical and non-technical audiences at various organizational levels.
- Experience leading transformations in business or product portfolios through advanced analytics.
Responsibilities
- Identify, research, and define large-scale AI/ML use cases in partnership with business leaders, executive peers, and strategic partners.
- Steer end-to-end efforts to create scalable, efficient, and highly performant AI/ML solutions.
- Utilize deep expertise to enhance the impact of modeling techniques on emerging business initiatives.
- Work alongside IT architects to design, implement, monitor, and scale innovative AI/ML solutions that evolve prototypes into new products, services, and features.
- Ensure AI/ML solutions are developed based on industry best practices and sound methodologies.
- Collaborate with model risk partners to foster a culture of regulatory compliance.
- Design complex information assets to facilitate applied analytics.
- Coordinate with engineering, data, and information architects to manage well-governed and documented datasets from various structured and unstructured sources.
- Seek opportunities to modernize and standardize the model development lifecycle.
- Provide expert technical guidance by evaluating vendor acquisitions.
- Contribute to talent and recruitment initiatives by engaging in communities of practice and technical interview panels.
- Clearly articulate complex analytical and technical concepts to diverse audiences, promoting data literacy and informing business priorities.
- Provide technical oversight in establishing a robust library of reusable algorithms and production-quality code.
- Develop and maintain academic and industry relationships for research.
- Represent USAA at key internal and external technology and advanced analytics conferences.
- Ensure that risks associated with business activities are effectively identified, measured, monitored, and controlled in line with risk and compliance policies.
Description
At USAA, we are dedicated to empowering our members to attain financial security through competitive products, outstanding service, and trustworthy advice. Our mission is to be the top choice for the military community and their families. We firmly believe that our commitment to core values such as honesty, integrity, loyalty, and service shapes our internal culture and interactions with members. Joining USAA means being part of a rewarding career that truly makes a difference. As a Data Scientist Principal, you will apply your technical skills and industry experience to influence and enhance the utilization of artificial intelligence and machine learning at USAA. Your role involves recognizing novel opportunities for advanced analytics solutions and effectively communicating with business leaders and stakeholders. We offer a flexible work environment that requires in-office attendance for 4 days a week, with positions available in various locations including San Antonio, Plano, Phoenix, Colorado Springs, Charlotte, Chesapeake, and Tampa. Relocation assistance is also provided. Compensation for this role ranges from $217,520 to $415,760, based on experience and market data. Employees may be eligible for performance-based pay incentives. At USAA, we provide exceptional benefits that support our employees' physical, financial, and emotional well-being, including comprehensive healthcare plans, retirement options, paid time off, and numerous professional development opportunities. The hiring process is ongoing; please apply as soon as you are interested. USAA is proud to be an Equal Opportunity Employer, welcoming qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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