Data Scientist Senior

USAA

Hybrid

Quick summary

Work type: Hybrid
Location: San Antonio, TXTampa, FLCharlotte, NCColorado Springs, COPlano, TX
Salary: $143,320–$273,930 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $209k

$93k most similar roles pay here $293k

This role pays more than 82% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $162k for comparable roles.

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.

Most-posted roles

View all roles at USAA

At a glance

TL;DR · Data Scientist Senior

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As an AI Individual Contributor Data Scientist at USAA Federal Savings Bank, you will join a forward-thinking team to drive the adoption of advanced AI technologies within the financial services sector. Your role involves identifying and implementing cutting-edge AI solutions to enhance productivity, automate processes, and generate new revenue streams. You will gather and interpret data, develop scalable machine learning models, and deploy them within regulatory frameworks while ensuring transparency and quality. Key responsibilities include mentoring junior scientists, communicating complex analytical insights to non-technical stakeholders, and staying abreast of the latest technological advancements through continuous learning and engagement with academic research and industry events. The ideal candidate has a strong background in predictive analytics, experience with Python or R for AI/ML model development, and proficiency in SQL and other query languages for data preprocessing. Knowledge of both supervised and unsupervised modeling techniques is essential, as well as an understanding of the financial services sector to address unique business challenges effectively.

Skills

Python R SQL HQL NoSQL JSON XML Linear Regression Logistic Regression Decision Trees K-Means Clustering Hierarchical Clustering DBSCAN MLOps CI/CD Git Jupyter Notebook PostgreSQL AWS Google Cloud

What you'll do

Develops scalable AI solutions using machine learning and optimization techniques.
Identifies and implements cutting-edge AI tools to enhance productivity and reduce costs.
Evaluates external AI technologies through professional networks and academic research.
Translates complex business requests into analytical questions and communicates results.
Builds and maintains a library of reusable, production-quality algorithms for transparency.
Mentors junior data scientists in modeling, analytics, and computer science tasks.

What we're looking for

6+ years experience in predictive analytics or data analysis.
Advanced degree (Master's, PhD) in quantitative fields and 4+ years of relevant experience.
Expertise in Python/R for statistical analyses and AI/ML model development.
Strong skills in querying and preprocessing structured/unstructured data using SQL, HQL, NoSQL.
Proven ability to perform ad-hoc analytics with descriptive, diagnostic, and inferential statistics.
Demonstrated skill in assessing regulatory implications of modeling efforts.

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