Senior Marketing Data Scientist

USAA

. Lead technical work behind audience strategy by building and evaluating models, integrating first- and third-party data, and resolving identities across marketing channels .

Posted 10/15/2026full-timeUnited StatesSenior💰 $143,320 - $273,930 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive analytics and data analysis, with a strong focus on building and validating advanced analytics models using Python or R. Proficient in communicating complex analytical results to non-technical stakeholders and mentoring junior analysts in technical and business contexts.

Highest-signal resume keywords

Predictive AnalyticsMachine LearningPython ProgrammingSQL QueryingModel Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ManipulationModel ValidationAdvanced AnalyticsData Preprocessing

Soft Skills

MentoringCommunicationProblem-Solving

Tools & Technologies

TableauPower BIAdobe Digital PlatformsGoogle Digital PlatformsSnowflake

Industry Keywords

Audience StrategyIdentity ResolutionRisk ManagementMarketing AnalyticsData Engineering

Tech Stack

Tools & technologies

BigQueryNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Lead technical work behind audience strategy by building and evaluating models, integrating first- and third-party data, and resolving identities across marketing channels
Shape which audiences USAA pursues and optimize marketing investments
Set technical standards and mentor other analysts
Partner with MarTech, engineering, and marketing leads on marketing activation
Gather, interpret, and manipulate structured and unstructured data for advanced analytical solutions
Develop scalable, automated solutions using machine learning, simulation, and optimization
Select modeling techniques and technologies based on data limitations, application, and business needs
Develop and deploy models within the Model Development Control and Model Risk Management frameworks
Compose technical documentation for knowledge persistence, risk management, and technical review audiences
Assess business needs and recommend analytical and modeling projects
Prioritize analytics and modeling problems and research efforts with business and analytics leaders
Build and maintain reusable, production-quality algorithms and supporting code
Translate business requests into analytical questions, execute analyses/models, and communicate outcomes and recommendations to non-technical colleagues
Manage project milestones, risks, and impediments; escalate issues that may limit project success or implementation
Develop best practices with Data Engineering and IT for deploying production-ready analytical assets
Maintain awareness of cutting-edge techniques and learn new technologies and methodologies
Mentor junior data scientists in modeling, analytics, and computer science
Participate in internal communities supporting data science technologies and culture
Identify, measure, monitor, and control risks in accordance with risk and compliance policies

Requirements

What you’ll need

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or another similar quantitative discipline; OR 4 years of statistics, mathematics, quantitative analytics, or related experience may substitute for the degree
6 years of experience in predictive analytics or data analysis, OR an advanced degree in a quantitative discipline and 4 years of experience in predictive analytics or data analysis
4 years of experience training and validating statistical, physical, machine learning, and other advanced analytics models
4 years of experience in a dynamic scripted language such as Python or R for statistical analyses and/or building and scoring AI/ML models
Experience writing easy-to-follow, well-documented, and appropriately commented code
Strong experience querying and preprocessing structured and/or unstructured databases using SQL, HQL, NoSQL, or similar query languages
Strong experience working with structured, semi-structured, and unstructured data files, including delimited numeric data, JSON/XML, text documents, and images
Skill in ad-hoc analytics using descriptive, diagnostic, and inferential statistics
Ability to assess and articulate regulatory implications and expectations of modeling efforts
Advanced experience with supervised modeling, including linear/logistic regression, discriminant analysis, support vector machines, decision trees, and forest models
Advanced experience with unsupervised modeling, including k-means, hierarchical/agglomerative clustering, neighbors algorithms, and 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 business recommendations and actionable applications
USAA does not provide visa sponsorship; applicants must not require immigration support now or in the future
Preferred: prior U.S. military service or military spouse/domestic partner status
Preferred: 3+ years in marketing analytics audience strategy or paid media
Preferred: 3+ years working with third-party data sources to build marketing targeting models
Preferred: 3+ years with Adobe or Google digital platforms and clickstream data
Preferred: 3+ years in identity resolution, including deterministic/probabilistic matching, household graphs, and clean rooms
Preferred: Expert SQL and Python or R proficiency; comfort with Snowflake, BigQuery, or Databricks
Preferred: Experience with Tableau or Power BI

Benefits

Comp & perks

Remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs
Relocation assistance
Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education assistance