Data Scientist Senior

About this role

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 needs.

The Opportunity We are seeking a 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 advancements.

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 position.

What you'll do: • Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. • Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. • Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. • Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. • Assesses business needs to propose/recommend analytical and modeling projects to add business value. • Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. • Builds and maintains 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 quality data. • Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. • Manages project milestones, risks, and impediments. • Escalates potential issues that could limit project success or implementation. • Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. • Maintains expertise and awareness of cutting-edge techniques. • Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. • Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. • Participates in internal communities that 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 procedures.

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 of degree.

• 6 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 4 years of experience in predictive analytics or data analysis. • 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics 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/ML models. • Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, 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, images, etc. • Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. • Ability to assess and articulate regula

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