USAA is looking to solve business problems by leveraging data science to drive business value through automation, revenue generation, and expense and risk reduction. The role aims to inform actionable business insights and shape strategies that drive competitiveness and differentiation.
Requirements
- Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
- Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
- Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
- Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
- A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
- Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
- 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
Responsibilities
- Translating business problems into applied statistical, machine learning, simulation, and optimization solutions
- Leading and developing a team to build and deploy various advanced analytical solutions in an agile and collaborative environment
- Simplifying processes across the model development lifecycle and driving automation
- Identifying, scoping, and managing complex analytical projects
- Championing and managing efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization
- Ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations
- Partnering with enterprise analytical and IT teams to build USAA core capabilities and processes
Other
- Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
- Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
- Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
- Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
