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About the Role

The USAA Marketing Strategy & Analytics team is seeking a Senior Marketing Data Scientist to lead technical work in audience strategy, model building, data integration, and identity resolution across marketing channels. This role directly influences audience selection and investment optimization, setting technical standards, mentoring analysts, and collaborating with MarTech, engineering, and marketing leads.

Responsibilities

Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions.
Develops scalable, automated solutions using machine learning, simulation, and optimization.
Selects appropriate modeling techniques and technologies based on data limitations, application, and business needs.
Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
Composes technical documents for knowledge persistence, risk management, and technical review.
Assesses business needs to propose and recommend analytical and modeling projects.
Works with business and analytics leaders to prioritize analytics and modeling problems.
Builds and maintains a robust library of reusable, production-quality algorithms and supporting code.
Translates complex business requests into specific analytical questions, executes analysis, and communicates outcomes to non-technical colleagues.
Manages project milestones, risks, and impediments.
Escalates potential issues that could limit project success or implementation.
Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets.
Maintains expertise and awareness of cutting-edge techniques.
Actively seeks opportunities to learn new techniques, technologies, and methodologies.
Serves as a mentor to junior data scientists.
Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.

Requirements

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience may be substituted for a degree.
6 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in a quantitative discipline and 4 years of experience in predictive analytics or data analysis.
4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
4 years of experience in one or more dynamic scripted languages (e.g., Python, R) for statistical analyses and/or building and scoring AI/ML models.
Proven experience writing clear, well-documented, and commented code.
Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages (e.g., SQL, HQL, NoSQL).
Strong experience working with structured, semi-structured, and unstructured data files (e.g., delimited files, JSON/XML, text documents, images).
Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
Advanced experience with classical supervised modeling concepts and technologies (e.g., linear/logistic regression, SVM, decision trees, forest models).
Advanced experience with unsupervised modeling concepts and technologies (e.g., k-means clustering, hierarchical clustering, neighbors algorithms, DBSCAN).
Experience guiding and mentoring junior technical staff in business interactions and model building.
Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications.
Prior U.S. military service or being a military spouse/domestic partner is highly valued.
3+ years in marketing analytics audience strategy, or paid media.
3+ years working with 3rd party data sources (data co-ops, data marketplaces, credit bureaus) to build marketing targeting models.
3+ years in digital platforms (Adobe, Google) and clickstream data.
3+ years in identity resolution (deterministic/probabilistic matching, household graphs, clean rooms).
Expert proficiency in SQL and Python or R.
Comfortable in cloud data environments (Snowflake, Bigquery, Databricks).
Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively.
USAA does not provide visa sponsorship for this role.

Skills

Machine Learning
Simulation
Optimization
Model Development
Model Risk Management
Data Manipulation
Statistical Analysis
Predictive Analytics
Data Analysis
Python
R
SQL
HQL
NoSQL
JSON
XML
Descriptive Statistics
Diagnostic Statistics
Inferential Statistics
Supervised Modeling
Unsupervised Modeling
Linear Regression
Logistic Regression
Support Vector Machines
Decision Trees
Forest Models
K-Means Clustering
Hierarchical Clustering
Neighbors Algorithms
DBSCAN
Data Visualization
Business Intelligence
Tableau
Power BI
Snowflake
BigQuery
Databricks
Identity Resolution
Clickstream Data Analysis
Marketing Analytics
Audience Strategy
Paid Media

Location

Remote eligible in the continental U.S.
On-site 4 days per week for individuals residing within a 60-mile radius of a USAA office.

Work Type

Remote
Hybrid
On-site

Experience Level

Senior
6 years of experience in predictive analytics or data analysis
4 years of experience in predictive analytics or data analysis (with advanced degree)
4 years of experience in training and validating models
4 years of experience in dynamic scripted languages
3+ years in marketing analytics audience strategy, or paid media
3+ years working with 3rd party data sources
3+ years in digital platforms and clickstream data
3+ years in identity resolution

Education Level

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline
Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline

Salary/Compensations

$143,320 - $273,930

Benefits

Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program with paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education

About the Company

USAA's mission is to empower members to achieve financial security through competitive products, exceptional service, and trusted advice.
USAA seeks to be the #1 choice for the military community and their families.
USAA's core values are honesty, integrity, loyalty, and service.
USAA is proud to support active-duty military spouses, with potential for remote or hybrid flexibility.
The Marketing Strategy & Analytics (MS&A) team ensures every member acquired is a family whose financial security USAA helps build.
The MS&A team provides granular and actionable visibility into marketing acquisition investments.

Equal Opportunity

USAA is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.