DATA SCIENTIST
U.S. Marine CorpsYou will serve as a
DATA SCIENTIST
in the
COMMAND DATA ANALYTICS OFFICE
of
MARINE CORPS LOGISTICS
COMMAND.You will serve as a senior expert regarding the development and application of scientific and statistical standards to data evaluation and analysis in the development of high-priority artificial intelligence (AI)You will apply network engineering, mathematics, statistical analysis, modeling/simulation, and/or other scientific concepts, principles, standards, methods, techniques, practices, and procedures.You will be responsible for directing, coordinating, monitoring, and managing the information technology (Al) transfer program areas.Develops sound data lifecycle process models that outlines the methodology to gather and store data, in its original form process and convert the raw data into clean, organized information; develop tools and processes for analysis.You will conduct extensive studies and comprehensive analysis of functions, methods, procedures, and practices pertaining to new and/or improved business processes within the logistics community.You will perform staff functions in a command headquarters where the resulting products /recommendations have significant impact.
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles
Data Analyst
Harnham - Data & Analytics Recruitment
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.