Data Scientist Senior - Model Development

USAA Life Insurance Company; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

USAA Life Insurance Company is seeking a Senior Data Scientist who translates business problems into statistical, machine learning, simulation, and optimization solutions to deliver actionable insights and measurable business value.

In collaboration with engineering, you will build scalable analytical assets, validate models with Model Risk Management, and mentor junior data scientists in a fast-paced, remote-friendly environment across the continental US.

Competenze

• Bachelor's degree in a quantitative field or 4+ years of related experience.
• 6 years in predictive analytics or data analysis; advanced degree can substitute for some experience.
• 4 years of experience training and validating advanced analytics models.
• 4 years of experience in Python, R or similar scripting languages for analytics.
• Proven ability to write clear, well-documented code.

Mansioni

• Gathers and manipulates data to enable analytical solutions.
• Develops scalable ML, simulation, and optimization models.
• Selects modeling techniques based on data and business needs.
• Develops and deploys models within MDC and MRM frameworks.
• Mentors junior data scientists.

Conoscenze

Structured data

Unstructured data

Machine learning

Simulation

Optimization

Model deployment

Technical writing

Mentoring

Project management

Data engineering collaboration

Formazione

Bachelor's degree in quantitative field

Advanced degree (Master's/PhD) in quantitative field

Strumenti

Python

R

Descrizione del lavoro

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.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

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

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on‑site.

What you'll do:

• Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
• Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
• Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
• Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
• Builds and maintains 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.
• Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
• Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation.
• Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
• Maintains expertise and awareness of cutting‑edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
• Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
• Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
• Ensures 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; OR 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.
• 6 years of experience in a predictive analytics or data analysis OR 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 4 years of experience in predictive analytics or data analysis.
• 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
• 4 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.
• Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code trans