Quick summary
- Work type
- Remote
- Location
- San Antonio, TXTampa, FLCharlotte, NCColorado Springs, COPlano, TXPhoenix, AZ
- Employment
- Full-time
- Posted
- 12 days ago
- Freshness
- Confirmed live today
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $132,725–$203,050.
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 65 open roles on FindRole.
Listed pay typically runs $114,080–$218,030 across 42 roles with salary data.
Most-posted roles
- Decision Science Analyst 6
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- AI/ML Engineer 3
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At a glance
TL;DR · Senior Marketing Data Scientist
The Senior Marketing Data Scientist joins the Marketing Strategy & Analytics team to lead technical work regarding audience strategy. This role involves building and evaluating models, integrating first and third-party data, and resolving identities across various marketing channels to optimize acquisition investments. The successful candidate will develop scalable, automated solutions using machine learning, simulation, and optimization to provide actionable business insights. Key responsibilities include mentoring junior analysts, managing project milestones, and deploying models within specific risk management frameworks. Required technical skills include proficiency in Python, R, and SQL, along with experience in Snowflake, Bigquery, or Databricks. The role requires expertise in supervised and unsupervised modeling, including regression, clustering, and decision trees, to solve complex marketing targeting problems using clickstream data and identity resolution techniques.
Skills
What you'll do
- Build and evaluate models to shape audience strategy and optimize marketing investments.
- Integrate first and third-party data while resolving identities across various marketing channels.
- Develop scalable, automated solutions using machine learning, simulation, and optimization techniques.
- Deploy models within the Model Development Control and Model Risk Management frameworks.
- Translate complex analytical results into actionable business recommendations for non-technical colleagues.
- Build and maintain a library of reusable, production-quality algorithms and supporting code.
- Mentor junior data scientists in modeling, analytics, and computer science tasks.
- Partner with MarTech, engineering, and marketing leads to deploy production-ready analytical assets.
What we're looking for
- Bachelor's degree in a quantitative discipline or 4 years of experience in statistics, mathematics, or quantitative analytics.
- 6 years of experience in predictive analytics or data analysis, or an Advanced Degree plus 4 years of experience in predictive analytics.
- 4 years of experience in 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 building AI/ML models.
- Strong experience querying and preprocessing data from structured and unstructured databases using SQL, HQL, or NoSQL.
- Advanced experience with classical supervised modeling (e.g., regression, decision trees) and unsupervised modeling (e.g., k-means clustering).
- Experience guiding and mentoring junior technical staff in business interactions and model building.
- Must be able to work without immigration support (H-1B, TN, STEM OPT, etc.).
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