AI Data Solutions Scientist — Remote

TaskVerse; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Pension options

Parental leave

Paid time off & holidays

Wellness programs & development

Job summary

USAA is seeking an AI Data Solutions Scientist to join our Technology organization. You will work with the Data Science team to transform operational processes and develop scalable analytical solutions using structured and unstructured data.

The role blends traditional operations research methods with cutting-edge AI, LLMs, and agent frameworks to drive value for members and enhance experiences. You will mentor junior data scientists, collaborate across architecture, engineering, and product

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Minimum of six years in predictive analytics or data analysis.
• Four years of experience in training and validating complex models with Python.
• Strong SQL/NoSQL data querying and preprocessing skills.
• Experience with model validation, regulatory considerations, and MLOps.
• Familiarity with cloud platforms (AWS or GCP) and mentoring experience.

Responsibilities

• Gather and manipulate structured and unstructured data for analytical solutions.
• Design and deploy scalable models using ML, simulation, and optimization techniques.
• Choose modeling methodologies based on data and business needs.
• Ensure compliance with MDC and MRM frameworks.
• Document technical work to support risk management and knowledge sharing.
• Collaborate with analytics teams to prioritize modeling efforts and research.

Skills

Python

SQL/NoSQL

ML for analytics

MLOps

Cloud AWS/GCP

Mentoring

Generative AI / LLMs

Education

Bachelor's degree in quantitative field

MS/PhD preferred

Tools

Jupyter/Python tooling

Job description

USAA is seeking an AI Data Solutions Scientist to join our Technology organization. You will work with the Data Science team to transform operational processes and develop scalable analytical solutions using structured and unstructured data.

The role blends traditional operations research methods with cutting-edge AI, LLMs, and agent frameworks to drive value for members and enhance experiences. You will mentor junior data scientists, collaborate across architecture, engineering, and product