Data Scientist - San Antonio, TX (Hybrid)

IAMUS Consulting•San Antonio, TX

1d•$133,000 - $179,000•Hybrid

About The Position

IAMUS Consulting is seeking a Data Scientist to support mission-critical data analysis and analytic development efforts within the Department of War/Intelligence Community. In this role, you’ll work with large-scale, complex data sets to ensure data is accurate, structured, and ready to drive meaningful insights. You’ll play a key role in data validation, transformation, and analytics, helping mission stakeholders rely on trusted data to make critical decisions. If you enjoy combining data engineering, analytics, and problem-solving—this is a high-impact opportunity.

Requirements

Active TS clearance (SCI eligible)
9+ years of relevant experience in data science, data engineering, analytics, or related field
Bchelor’s degree in a technical field (or additional experience in lieu of degree)
Strong experience with Python (data manipulation, scripting, analytics)
Experience working with SQL databases (Postgres preferred)
Experience with data extraction, transformation, and preparation (ETL/ELT)
Familiarity with data formats such as JSON, XML, and others
Experience defining and managing data schemas and normalization standards
Strong attention to detail and ability to work through complex data challenges
Willingness to obtain DoD IAT II certification (if not already held)

Nice To Haves

Experience supporting cyber or network security operations
Experience with statistical analysis, data profiling, or data validation techniques
Familiarity with command-line tools and shell environments
Experience with Java and Maven
Experience deploying models or services via APIs, Docker, or Kubernetes
Familiarity with RESTful APIs
Experience working in Agile environments
Strong communication and documentation skills

Responsibilities

Develop and maintain data transformations and analytic workflows
Perform data quality, validation, and conformance analysis across diverse data sources
Design and enforce data schemas and normalization standards (JSON, SQL, XSD, ECS)
Support analytic efforts by preparing and structuring mission-critical datasets
Identify patterns, inconsistencies, and opportunities for improving data usability
Troubleshoot and resolve data quality and pipeline issues
Work independently and collaboratively to meet mission objectives
Contribute to improving overall data reliability and analytic effectiveness