This role pays more than
90%
of similar roles. Most pay
$140,000–$228,958
— the shaded band above.
At the midpoint, this role pays about
$276k
versus about
$184k
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
14 open roles
on FindRole.
Listed pay typically runs
$143,320–$273,930
across 14 roles with salary data.
As a Director, Data Scientist, you will lead a team of data scientists to identify, scope, and translate complex business problems into applied statistical, machine learning, simulation, and optimization solutions. You will manage the project portfolio, oversee model inventory for risk management compliance, and collaborate with business leaders to drive automation and revenue growth. The role requires expertise in predictive modeling, model governance, and large data analysis using tools such as SQL, Python, R, Spark, and Hadoop. You will implement advanced techniques including neural networks, random forests, gradient-boosting, and time series methods to solve problems within the financial services industry. By translating technical insights for non-technical executives, you will shape strategies that enhance competitiveness while ensuring all modeling solutions adhere to strict regulatory requirements and internal risk policies across the organization's data and technology infrastructure.
Lead a team of Data Scientists to develop machine learning, simulation, and optimization solutions for business problems.
Translate complex technical results into actionable insights for non-technical business executives and senior leadership.
Manage the team's project portfolio while ensuring compliance with model risk management policies and regulatory requirements.
Act as an advanced analytics thought leader to shape strategies that drive organizational competitiveness.
Drive the adoption of emerging technologies and innovative analytical capabilities across the organization.
Oversee the recruitment, coaching, performance management, and professional development of the data science team.
Identify and manage necessary resources including IT investments, third-party support, and additional personnel.
Ensure all modeling solutions adhere to industry standards and internal risk and compliance policies.
What we're looking for
Bachelor's degree in a quantitative field and 8 years of experience in predictive modeling, model governance, machine learning, and large data analysis.
Advanced degree in a STEM field and 6 years of experience in predictive modeling, model governance, machine learning, and large data analysis.
3 years of direct management experience.
Proficiency with technologies such as SQL, Python, R, Spark, and Hadoop.
Experience developing and reviewing solutions using techniques like regression, time series, neural networks, and ensemble methods.
Demonstrated ability to translate complex technical information into insights for non-technical business leaders and senior executives.
Ability to write and review complex technical documentation regarding modeling results and technical details.
US military experience or Financial Services industry experience (preferred).
Machine Learning
Python
SQL
Java
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Optimization Models
Data Governance
Statistics
Econometrics
Operations Research
WCAG) 2.2 AA