Data Scientist I

USAA•Charlotte, NC

17h•Hybrid

About The Position

USAA's mission is to empower its members to achieve financial security through highly competitive products, exceptional service, and trusted advice. The company seeks to be the #1 choice for the military community and their families. This role offers a fulfilling career where core values of honesty, integrity, loyalty, and service define interactions. USAA is proud to support active-duty military spouses, with potential for remote or hybrid flexibility consistent with policy and business needs. This position is part of the Employee Referral Program.

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 SMEs 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.