Data Scientist

TaskVerse; United States; Hybrid; USD 94,000 - 179,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Pension

Job summary

USAA is seeking a Data Scientist II (Mid Level) for Pricing and Product Analytics across Auto and Property Data Science teams. You will turn business problems into statistical, machine learning, simulation, and optimization solutions that drive value through automation, revenue, and risk reduction.

The role is eligible for remote work within the continental United States, with occasional travel; employees near offices may work on-site four days a week.

Qualifications

• Bachelor’s degree in a quantitative field or four years of related education/experience.
• Two years of experience in predictive analytics or data analysis, or an advanced degree.
• Experience training and validating statistical, ML, or other analytics models.
• Proficient in Python or R and able to write clear, well-documented code.
• Experience querying and preparing data from structured or unstructured databases using SQL, HQL, NoSQL, or similar tools.
• Familiarity with descriptive and inferential statistics, supervised/unsupervised modeling, and communicating results to non-technical partners.

Responsibilities

• Gather, interpret, and prepare structured and unstructured data to support analytical solutions.
• Select suitable modeling techniques and technologies based on data limitations, intended use, and business needs.
• Develop and deploy models within Model Development Control and Model Risk Management frameworks, and work with model risk partners to assess results before production deployment.
• Translate business requests into analytical questions, conduct analyses, and explain findings to non-technical colleagues.
• Partner with Data Engineering, IT, business teams, and other stakeholders to deliver scalable solutions aligned with customer needs and modeling standards.
• Contribute to internal tools, packages, and applications, document work for technical review, pursue new methods, and ensure risks are identified and controlled.

Skills

Python or R

SQL querying

Statistical modeling

Education

Bachelor's degree in quantitative field

Tools

SQL

HQL

NoSQL

Job description

About The Company

USAA’s mission is to empower its members to achieve financial security through competitive products, exceptional service, and trusted advice. The company strives to be the provider of choice for the military community and their families. Its core values—honesty, integrity, loyalty, and service—guide how employees work together and serve members. USAA also supports active-duty military spouses; remote or hybrid flexibility may be available in accordance with applicable policy and business needs.

About The Company

USAA’s mission is to empower its members to achieve financial security through competitive products, exceptional service, and trusted advice. The company strives to be the provider of choice for the military community and their families. Its core values—honesty, integrity, loyalty, and service—guide how employees work together and serve members. USAA also supports active-duty military spouses; remote or hybrid flexibility may be available in accordance with applicable policy and business needs.

About The Role

USAA is seeking a Data Scientist II (Mid Level) for Pricing and Product Analytics. Multiple opportunities are available across the Auto and Property Data Science teams, which develop loss, acquisition, retention, and lifetime value models. In this role, you will turn business problems into practical statistical, machine learning, simulation, and optimization solutions. Your work will inform business decisions and help create value through automation, revenue generation, and the reduction of expenses and risk.

This position is eligible for remote work within the continental United States, with occasional business travel. Employees who live within 60 miles of a USAA office are expected to work on-site four days per week. The salary range is $93,770–$179,240; actual compensation may vary based on location, experience, and market data. Employees may also be eligible for incentives based on corporate and individual performance, at the discretion of the USAA Board of Directors. USAA does not provide visa sponsorship for this role.

Qualifications

You must have a bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial science, science, engineering, or another quantitative field, or four years of relevant education and/or experience. You must also have two years of experience in predictive analytics or data analysis, or an advanced degree in a related quantitative discipline.

Qualified candidates have experience training and validating statistical, physical, machine learning, or other advanced analytics models. You should be proficient in a scripted language such as Python or R, and able to write clear, well-documented code. Experience querying and preparing data from structured or unstructured databases using SQL, HQL, NoSQL, or similar tools is required. Familiarity with varied data formats, descriptive and inferential statistics, supervised and unsupervised modeling, and communicating results to non-technical partners is also important.

Preferred qualifications include Personal Lines experience; a strong understanding of GLM and GBM algorithms; familiarity with rating platforms such as Earnix, Ratabase, or Radar; and basic knowledge of model risk management, governance, and regulatory requirements. US military experience, including experience as a military spouse or domestic partner, is also valued.

Responsibilities

Gather, interpret, and prepare structured and unstructured data to support analytical solutions. Select suitable modeling techniques and technologies based on data limitations, intended use, and business needs. Develop and deploy models within USAA’s Model Development Control and Model Risk Management frameworks, and work with model risk partners to assess model results and stability before production deployment.

Translate business requests into analytical questions, conduct analyses, and explain findings to non-technical colleagues. Partner with Data Engineering, IT, business teams, and other stakeholders to deliver scalable solutions aligned with customer needs, technical specifications, and modeling standards. Contribute to internal tools, packages, and applications, document work for technical review and knowledge sharing, pursue new methods and technologies, and ensure risks are identified, measured, monitored, and controlled in accordance with policies and procedures.

Benefits

USAA offers comprehensive medical, dental, and vision coverage, a 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off, paid holidays, and 16 paid volunteer hours. Employees also have access to wellness programs, career planning, and continuing education to support professional development.

Equal Opportunity

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