Data Scientist (Mid-Level)

usaa; United States; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

USAA is seeking a Data Scientist to translate business problems into statistical, machine learning, and optimization solutions that drive insights and value through automation and risk reduction.

You will build analytical modeling solutions using databases, cloud tech, and programming, collaborating with data scientists to expand internal tools and package libraries.

Qualifications

• Bachelor's degree in a quantitative field or 4 years of relevant education/experience.
• 4 years of experience in predictive analytics or data analysis; advanced degree acceptable with 2 years experience.
• 2 years of experience in training/validating statistical or ML models.
• 2 years of experience in Python, R or similar languages.
• Experience querying and preprocessing data with SQL, HQL, NoSQL, etc.
• Experience with structured, semi-structured, and unstructured data.

Responsibilities

• Translates business problems into statistical, ML, simulation, and optimization solutions.
• Collaborates with engineering to deliver scalable analytics, models, and automation.
• Develops and deploys models within MDC and MRM frameworks.
• Produces technical documentation for risk management and reviews.
• Identifies analytics projects to add business value and prioritizes them with leadership.
• Maintains a library of reusable production-quality algorithms and code.

Skills

Predictive analytics

Machine learning

Data wrangling

Model validation

Education

Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field

Advanced Degree (Master's/PhD) in a quantitative field

Tools

Python

R

SQL

NoSQL

Job description

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, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive actionable business insights and business value through automation, revenue generation, and the reduction of expenses and risk. In collaboration with engineering partners, you will deliver scalable solutions and enable customer-facing applications. You will leverage your expertise in databases, cloud technologies, and programming to build analytical modeling solutions using statistical and machine learning techniques. You will also collaborate with fellow data scientists to enhance USAA's tools and expand the company's library of internal packages and applications. Additionally, you will partner with Model Risk Management to validate model results and ensure their stability before deploying them 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, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

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 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.
• Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.
• Contributes 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.
• Translates 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.
• Works 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.
• Maintains awareness of cutting-edge techniques.
• Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
• 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 Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience.
• 4 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 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 in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
• Experience in working with structured, semi-structured, and unstructured data file