Data Scientist I

USAA•Charlotte, NC

2d•Hybrid

About The Position

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 Employer: United Services Automobile Association

Requirements

Will accept a Bachelor’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 4 years of experience in the job offered or in a related occupation.
Alternatively, will accept a Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 1 year of experience in a related occupation.
Quicksight and Python visualization libraries like Matplotlib, Seaborn, and iPython
Domain knowledge and experience working with banking and related LOB's data, business processes and risk management
Data Engineering and Architecture
Cloud Computing and Architecture
Redshift Cloud Data Warehouse
AWS Glue, S3 and Lambda
Git (CI/CD Automation)
PySpark
Unix Shell Scripting
BMC Control-M and Apache AirFlow
ETL Tools (Data Stage and Informatica)
Agile Methodologies

Responsibilities

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.