Data Scientist - Mid Level

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, you will deliver solutions at scale, enable customer-facing applications, and leverage database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Additionally, you will collaborate with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications, and work with model risk management to validate the results and stability of models before being pushed to production at scale.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Charlotte, NC.

Relocation assistance is not available.

What you'll do:

• Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business

• Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value

• Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs

• Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework

• Compose technical documents for knowledge persistence, risk management, and technical review audiences

• Assess business needs to propose/recommend analytical and modeling projects to add business value

• Participate in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders

• Contribute to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data

• Translate business request(s) into specific analytical questions, execute on the analysis and/or modeling, and then communicate outcomes to non-technical business colleagues with focus on business action and recommendations

• Work closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer’s vision and specifications while being consistent with modeling best practices and model risk management standards

• Maintain awareness of cutting-edge techniques

• Actively seek opportunities and materials to learn new techniques, technologies, and methodologies

• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

What you have:

• Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree

• 4 years of experience in predictive analytics or data analysis OR an advanced degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis

• 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models

• 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models

• Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency)

• Experience querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc

• Experience working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc

• Experience performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics

• Ability to assess regulatory implications and expectations of distinct modeling efforts

• Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc

• Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors' algorithms, DBSCAN, etc

• Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results

What sets you apart:

• 3+ years of experience in Python to include expertise with large-scale datasets and modern data architectures

• Demonstrated experience developing ML/AI models and experience with ML lifecycle, ML Ops tools, and deployment solutions (APIs, Docker, Kubernetes)

• Experience building GenAI models

• Hands-on experience with cloud services for model development and deployment

Compensation range: The salary range for this position is: $114,080.00 - $218,030.00.

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.