Data Scientist Senior

USAA

Quick summary

Work type
On-site
Location
Plano, TX
Posted
8 days ago
Closes
Jul 18, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $162k
$97k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 Senior

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As a Senior Data Scientist at USAA, you will join the Analytics team to develop scalable solutions using machine learning, simulation, and optimization techniques. Your daily tasks include selecting appropriate modeling methods, developing models within MDC and MRM frameworks, and creating technical documents for knowledge persistence. You will assess business needs to propose analytical projects, prioritize research efforts with leadership, and build a library of reusable algorithms. Additionally, you will translate complex requests into actionable insights, manage project risks, and mentor junior data scientists. The role requires expertise in Python, PySpark, SQL, TensorFlow, Keras, and deep learning architectures like CNNs and RNNs, along with proficiency in Google Cloud Platforms such as BigQuery and Vertex AI. Knowledge of finance and insurance is essential for this position at USAA’s headquarters in Plano, Texas.

Skills

Python PySpark SQL Power BI Git Airflow Docker Google Cloud Platform BigQuery Vertex AI Cloud Storage TensorFlow PyTorch Keras CNNs RNNs Encoder-decoders Transformers NLP LLM Embedding Prompt Engineering Fine-tuning Multi-Cloud Data Platforms

What you'll do

  • Develops scalable solutions using machine learning to deliver business insights.
  • Selects appropriate modeling techniques considering data limitations and business needs.
  • Composes technical documents for knowledge persistence and risk management.
  • Translates complex business requests into analytical questions and communicates outcomes.
  • Builds and maintains a library of reusable, production-quality algorithms and code.
  • Manages project milestones, risks, and impediments to ensure successful implementation.

What we're looking for

  • Bachelor’s degree in a relevant field plus 4 years of experience or Master’s degree plus 1 year of experience.
  • Expertise in machine learning techniques including supervised and unsupervised learning, time series analysis, and causal inference.
  • Proficiency with deep learning frameworks (TensorFlow, PyTorch) and natural language processing (NLP).
  • Strong skills in Python, SQL, Git, Docker, and CI/CD tools like Airflow.
  • Experience with Google Cloud Platforms including BigQuery, Vertex AI, and Cloud Storage.
  • Knowledge of finance and insurance industry practices and data science development platforms.

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