Data Scientist I

USAA

Quick summary

Work type
On-site
Location
Charlotte, NC
Posted
9 days ago
Closes
Jul 18, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $154k
$88k most similar roles pay here $199k

This listing doesn't post a salary. Most similar roles pay $126,800–$181,855.

Based on 240 similar postings.

Employer

About USAA

USAA (United Services Automobile Association) is a San Antonio-based Fortune 500 financial services company founded in 1922, dedicated to providing insurance, banking, and investment solutions exclusively to U.S. military members, veterans, and their families.

USAA currently has 17 open roles on FindRole.

Listed pay typically runs $120,695–$230,685 across 10 roles with salary data.

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View all roles at USAA

At a glance

TL;DR · Data Scientist I

Join USAA as a Senior Data Analyst where you will collaborate with cross-functional teams to solve complex business problems using advanced analytics techniques such as predictive modeling and machine learning. Your day-to-day involves integrating large datasets from both structured and unstructured sources, developing scalable solutions for data analysis and model implementation, and translating technical insights into actionable decisions for non-technical stakeholders. You’ll leverage tools like Quicksight, Python visualization libraries, AWS services including Redshift and Glue, and ETL tools to drive impactful business outcomes in the banking sector. This role requires a Bachelor’s degree plus 4 years of experience or a Master’s degree plus 1 year, with expertise in data engineering, cloud computing, and agile methodologies.

What you'll do

  • Defines complex business problems and research questions with cross-functional teams.
  • Integrates structured and unstructured data to develop advanced analytical solutions.
  • Conducts predictive modeling and machine learning to deliver actionable insights.
  • Develops scalable automated solutions for large-scale data analyses and model validation.
  • Translates technical concepts into understandable information for non-technical stakeholders.

What we're looking for

  • Bachelor’s degree in Computer Science or related field with 4 years of experience.
  • Master’s degree in Applied Mathematics or related field with 1 year of experience.
  • Expertise in Python visualization libraries and AWS cloud services.
  • Experience with banking data, business processes, and risk management.
  • Proficiency in Data Engineering, Cloud Computing, and ETL Tools.
  • Knowledge of Git, PySpark, Unix Shell Scripting, and Agile Methodologies.

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