Job Description

Salary: $93,770 - 168,790 per year Requirements:

• Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field;
• 4 years of experience in statistics, mathematics, quantitative analytics, or related field may substitute for degree.
• Minimum of 2 years of experience in predictive analytics or data analysis OR an advanced degree (e.g., Masters, PhD) in a relevant field.
• Experience in training and validating statistical and machine learning models.
• Proficient in at least one scripting language (e.g., Python, R) for statistical analyses or AI/ML model development.
• Capability to write clear and well-documented code for transparency.
• Experience in querying and preprocessing data from structured/unstructured databases via languages like SQL, HQL, NoSQL, etc.
• Familiarity with structured, semi-structured, and unstructured data formats (e.g., delimited numeric data, JSON/XML, text documents, images).
• Knowledge of ad-hoc analytics using various statistical methods.
• Understanding of supervised modeling concepts (e.g., regression, decision trees) and unsupervised modeling techniques (e.g., clustering algorithms).
• Strong communication skills to convey analytical results to non-technical stakeholders.

• Capture, interpret, and manipulate both structured and unstructured data for business analytical solutions.
• Choose the most suitable modeling technique with consideration to data limitations and business objectives.
• Develop and implement models within the Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
• Document technical processes for knowledge retention and compliance purposes.
• Collaborate with peers for mentorship when necessary.
• Transform business requests into actionable analytical queries, complete analyses, and present findings to non-technical team members.
• Work alongside Data Engineering, IT, and business partners to align analytical solutions with client vision and ensure modeling best practices.
• Continually seek opportunities to learn new techniques, tools, and methodologies.
• Identify, measure, monitor, and manage risks associated with business activities in accordance with compliance regulations.

• AI
• JSON
• Machine Learning
• NoSQL
• Python
• SQL
• Security
• XML
• Support
• Phoenix

More:

At USAA, we are dedicated to empowering our members to attain financial security through competitive products, exceptional service, and reliable advice. We strive to be the top choice for the military community and their families. Working as a Data Scientist II in our Fraud team, you will be crucial in developing machine learning models aimed at enhancing our capabilities for fraud detection and prevention across various platforms. We offer a flexible work environment, requiring in-office attendance four days a week, with the option for occasional remote work. Our competitive benefits include comprehensive health plans, a 401(k) pension, generous paid time off, and additional resources for professional development. We encourage you to join our unique and impactful team.

last updated 51 week of 2025

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