Data Scientist (Mid-Level) - CFO

USAA Careers

USAA, dedicated to serving the military community and their families, offers a vibrant career for a Data Scientist (Mid-Level). The role involves leveraging statistical and machine learning techniques to drive business value by automating processes and reducing risks. The candidate will collaborate with engineers to develop scalable solutions, working within a team upholding USAA's core values: honesty, integrity, loyalty, and service.

In this role you can expect to have the responsibilities:

• Manipulate structured and unstructured data to provide analytical solutions.
• Develop and deploy machine learning models within the Model Development Control framework.
• Create automated solutions for insights and business value using simulation and optimization.
• Document technical procedures for risk management and technical reviews.
• Assess business requirements to prioritize analytical projects.
• Ensure transparency in model development and high-quality data usage.
• Communicate analytical results to non-technical colleagues.
• Deploy analytical assets with internal teams in alignment with best practices.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision plans.
• 401(k) and pension.
• Life insurance.
• Parental and adoption assistance.
• Paid time off and volunteer hours.
• Career path planning and continuing education.

This role requires you to have:

• Bachelor’s degree or 4 years of relevant experience in quantitative disciplines.
• Expertise in predictive analytics and data analysis.
• Proficiency in statistical and machine learning model training.
• Proficient in Python or R.
• Experience with SQL and data preprocessing.

You would benefit from having:

• Advanced knowledge of Python for managing large-scale datasets.
• Experience in developing Generative AI models.
• Experience in collaborating with diverse teams.

USAA is committed to equal opportunity employment. All candidates will be considered without discrimination based on race, gender, or other protected status.