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Data Scientist

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MMB Global Tech LLC

San Antonio, TX (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 6/9/2026

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Job Description

Hi All, Role:
Data Scientist (Insurance)
Visa:
Any Location:
San Antonio TX Resource Need for Insurance Data We are looking primarily for model ops and model monitoring support. A scientist with strong cs/engineering skills or an engineer with strong science/anal specifics Bachelor''s Degree in Computer Science, Computer Engineering, Data Science, or related degree/experience that demonstrates strong analytics, software development, and data manipulation. 4+ years of machine learning engineering, data engineering, and/or data science experience. 4+ years'' experience with Python 4+ years'' experience in developing SQL-based queries (including creation, optimization, and integration). Experience with Snowflake is preferred.
Must Have:
Python, Snowflake SQL, Domino Data Labs Work with the Insurance Data Science teams to develop, refine, test, and deliver model monitoring capabilities. Resource Need for Insurance Data The candidate may also be called upon to perform ad-hoc data/analysis requests, manage scheduled jobs in the Domino plattorm, collaborate with USAA Al/ML engineers, and other as needed tasks for improving Model Ops in the Insurance Data Science team. 1. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets approprate coding standards 1. Read model development and ongoing monitoring documentation and engage with data scienusu to design the needed monitoring solution tor each model 2. Read and optimize Model development and production SQL queries to develop ground truth dati sets for model monitoring activities. 3. Design and develop prototype tables that align to USAA''s data modeling and DDLC requirements for seamless traditionalization by USAA IT. 4. Conduct thorough quality checks to ensure the accuracy and reliability of the data and processe

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