Lead Data Scientist

9 hours ago


San Antonio, Texas, United States USAA Full time
Job Description

USAA is seeking a highly skilled Lead Data Scientist to join our team. As a Lead Data Scientist, you will be responsible for developing and deploying machine learning models to detect and prevent fraud in credit card, debit card, check, deposit, digital payments, and other areas such as claims and disputes.

The ideal candidate will have a strong background in predictive analytics, machine learning, and data science, with experience in working with large datasets and developing complex models. You will work closely with cross-functional teams to identify business needs and develop solutions to drive business value.

Key Responsibilities:

  • Develop and deploy machine learning models to detect and prevent fraud
  • Work with cross-functional teams to identify business needs and develop solutions
  • Collaborate with data engineers to deploy production-ready analytical assets
  • Communicate complex technical information to non-technical stakeholders

Requirements:

  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area
  • 8 years of experience in predictive analytics or data analysis
  • 6 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

What We Offer:

  • Competitive salary range: $158,960 - $286,130
  • Best-in-class benefits, including 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
  • Career path planning and continuing education to assist employees with their professional goals

How to Apply:

Applications for this position are accepted on an ongoing basis. Interested candidates are encouraged to apply the same day they view this posting.


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