Data Scientist Senior

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.**The Opportunity**Senior Data Scientists translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages' database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is **not** 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 visible and based on the highest quality data.* Translates complex business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.* Handles project landmarks, risks, and impediments. Calls out potential issues that could limit project success or implementation.* Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling procedures and model risk management standards.* Maintains expertise and awareness of pioneering 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 field; 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 field 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.* Validated experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code visibility).* 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 regulatory implications and expectations of distinct modeling efforts.* Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.* Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors’ algorithms, DBSCAN, etc.* Experience guiding and mentoring junior technical staff in business interactions and model building.* Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.**What sets you apart:*** Strong history of collaborating with other data scientists, data engineers, and IT on delivering AI/ML solutions to business partners in highly regulated environments, with a foundational understanding of Model Risk Management (MRM) and governance principles.* Proficiency in software engineering standard methodologies for data science, including robust coding standards, version control, and collaboration with engineering teams for model deployment and productionization.* Demonstrated history of partnering with business subject matter authorities to translate complex business problems into advanced analytical solutions, critically evaluating approaches, and translating technical findings into clear, business-oriented recommendations and driving adoption of data-driven strategies.* Experience in the Life Insurance, Health Insurance, and/or Annuities business both digitally and in support of call center operations.* Validated expertise in using analytics and modeling to drive marketing engagement and optimization, designing customer journeys, persona and segmentation, positioning and messaging optimization, using data to support go-to-market strategies, etc.* Experience in user acceptance testing, pilot testing, experimentation, and/or A-B Testing to evaluate the value delivery of model solutions.**Compensation range:** The salary range for this position is: $143,320.00 - $273,930.00**.****USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).****Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary #J-18808-Ljbffr