Purpose of Job
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
As a data scientist supporting Retail Banking, you will be partnering with product managers, IT, and other data scientists to build and deliver advanced analytical solutions for Credit Card, Consumer Lending, Deposits and Payments. In this role, you will build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The incumbent will be expected to share and apply their knowledge of current state-of-the-art methods, technologies, and applications across data science fields, including statistics, programming languages, unsupervised learning, etc. This position will leverage interpersonal skills to translate the complexity of work into tangible business recommendations.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
- Identifies and manages existing and emerging risks that stem from business activities and the job role.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
- Follows written risk and compliance policies and procedures for business activities.
- Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.
- Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
- Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
- Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
- Works with IT to research architecture for new products, services, and features.
- Develops algorithms and supporting code such that research efforts are based on the highest quality data.
- Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
- Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
- 4 years of related experience in predictive modeling, large data analysis and computer science.
- Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.
- Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.
- Experience in data mining and statistical analysis.
- Knowledge of Data Science principals and experience with data science methodologies.
- Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
- Strong Python, SQL skills.
- Relevant banking domain knowledge in Retail Banking, Real Estate, Omni, Fraud & Central Ops is a plus.
- Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.
- Exposure to natural language processing (NLP), deep learning, computer vision.
- Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.
- Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
Relocation assistance is not available for this position.