Data Scientist

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

About The Company

USAA is a leading financial services organization dedicated to serving the military community and their families. Our mission is to empower our members to achieve financial security through highly competitive products, exceptional service, and trusted advice. We pride ourselves on maintaining a culture rooted in core values such as honesty, integrity, loyalty, and service, which guide our interactions with members and colleagues alike. USAA is committed to fostering an inclusive environment that supports active-duty military spouses and offers flexible work arrangements, including remote and hybrid options, to accommodate diverse needs. Our organization continuously strives to innovate and adapt to the evolving financial landscape, leveraging advanced technology and data-driven solutions to provide unparalleled value to our members.

About The Company

USAA is a leading financial services organization dedicated to serving the military community and their families. Our mission is to empower our members to achieve financial security through highly competitive products, exceptional service, and trusted advice. We pride ourselves on maintaining a culture rooted in core values such as honesty, integrity, loyalty, and service, which guide our interactions with members and colleagues alike. USAA is committed to fostering an inclusive environment that supports active-duty military spouses and offers flexible work arrangements, including remote and hybrid options, to accommodate diverse needs. Our organization continuously strives to innovate and adapt to the evolving financial landscape, leveraging advanced technology and data-driven solutions to provide unparalleled value to our members.

About The Role

We are seeking a highly skilled and innovative AI Data Solutions Scientist to join our Technology organization. In this pivotal role, you will work within our dynamic Data Science team, collaborating closely with architecture, engineering, and product teams to transform operational processes and enhance member experiences. Your expertise will contribute to the development of scalable, automated analytical solutions that leverage both structured and unstructured data. The role involves applying traditional operations research techniques such as simulation, optimization, and machine learning, alongside cutting‑edge technologies including generative AI, large language models, and advanced agent frameworks. As a key member of our AI modeling frontier, you will help shape the next generation of AI capabilities at USAA, impacting our strategic initiatives and operational excellence.

Qualifications

The ideal candidate will possess a bachelor's degree in mathematics, computer science, statistics, engineering, or a related quantitative field, or equivalent experience. A minimum of six years of experience in predictive analytics or data analysis is required, with advanced degrees (Master's or PhD) preferred. The candidate should have at least four years of experience in training and validating complex models, with proficiency in Python for statistical analysis and machine learning tasks. Strong expertise in querying and preprocessing data using SQL, NoSQL, or similar languages is essential. Demonstrated ability to communicate technical results to non-technical stakeholders, along with experience in model validation, regulatory considerations, and MLOps practices, is highly valued. Experience with classical supervised and unsupervised modeling techniques, as well as frameworks for large language models and agent systems, will set candidates apart. Familiarity with cloud platforms such as AWS or GCP, and a history of mentoring junior staff, are also desirable.

Responsibilities

• Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions aligned with business objectives.
• Design, develop, and deploy scalable, automated models and algorithms using machine learning, simulation, and optimization techniques to generate actionable insights.
• Select appropriate modeling methodologies considering data limitations, application context, and business needs.
• Ensure models are developed and deployed within the Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
• Produce comprehensive technical documentation to support knowledge sharing, risk management, and review processes.
• Assess business requirements to recommend analytical projects that add measurable value.
• Collaborate with business and analytics teams to prioritize modeling efforts and research initiatives.
• Create and maintain a library of reusable, high-quality algorithms and supporting code to promote transparency and consistency.
• Translate complex business questions into specific analytical tasks, execute analyses, and communicate findings effectively to non-technical audiences.
• Manage project timelines, identify risks, and elevate issues to ensure successful implementation.
• Develop best practices for collaboration with Data Engineering and IT teams to deploy production‑ready solutions.
• Stay current with emerging techniques and technologies in data science and AI, actively seeking opportunities for continuous learning.
• Mentor junior data scientists, fostering a culture of technical excellence and knowledge sharing.
• Participate in internal communities dedicated to advancing data science practices and culture.
• Ensure compliance with risk and regulatory policies by identifying, monitoring, and controlling associated risks.

Benefits

USAA offers a comprehensive benefits package designed to support the physical, financial, and emotional well‑being of our employees. Benefits include medical, dental, and vision coverage, a 401(k) plan, pension options, life insurance, parental leave, adoption assistance, paid time off, and paid holidays. Employees also have access to wellness programs, volunteer hours, and opportunities for professional development through career path planning and continuing education. We are committed to fostering a healthy work‑life balance and providing resources that promote personal and professional growth.

Equal Opportunity

USAA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We believe in fair treatment and equal access to opportunities for everyone, fostering a workplace where all individuals can thrive and contribute to our mission of serving the military community.