Lead AI Data Scientist

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful

.
We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business need

s.

The Opportu

nityWe are seeking a Lead AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advanceme

nts.
This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per

week.
Relocation assistance is available for this pos

ition.

What yo

• u'll do:Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the b
• usiness.Leads and conducts advanced analytics leveraging machine learning, simulation, and optimization to deliver business insights and achieve business obj
• ectives.Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and busines
• s needs.Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) fr
• amework.Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review au
• diences.Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research
• efforts.Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quali

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• ty data.Assists team with translating business request(s) into specific analytical questions, executing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommen
• dations.Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as
• needed.Establishes and maintains best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management st
• andards.Interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and method
• ologies.Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal
• skills.Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and
• culture.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and pro

cedures.
What

• you have:Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu o
• f degree.8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data
• analysis.6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytic

Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.

• s models.4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/M
• L models.Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code trans
• parency).Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, No
• SQL, etc.Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, ima
• ges, etc.Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential st
• atistics.Proven ability to assess and articulate regulatory implications and expectations of distinct modeling
• efforts.Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implem
• entation.Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest mod
• els, etc.Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBS
• CAN, etc.Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model
• building.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data
• science.A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equ
• ivalent).Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the orga