76 applicants
USAA · 3 days ago
Data Scientist Principal
San Antonio, TX
Full-time
Hybrid
Senior Level
$183K/yr - $349K/yr
10+ years exp
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Responsibilities
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.
Qualification
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Required
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 the use of advanced analytics
Preferred
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
Benefits
Comprehensive medical, dental, and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program with paid holidays and 16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education assistance
Company
USAA
USAA is a financial services company.
10,001+ employees
H1B Sponsorship
USAA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (45)
2022 (160)
2021 (29)
Funding
Current Stage
Late StageLeadership Team
Dana Simmons
Executive Vice President, CEO Chief of Staff
Chris Flint
SVP and General Manager, Life and Health Insurance
Recent News
2024-05-17
Coverager - Insurance news and insights
2024-05-01
Company data provided by crunchbase
