Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist Senior in the United States.
This role sits at the intersection of advanced analytics, artificial intelligence, and large-scale enterprise modernization, supporting mission-critical government programs through data-driven innovation. You will design, build, and deploy AI/ML solutions that transform how organizations leverage data for decision-making, automation, and operational intelligence. Working in a highly collaborative environment, you will contribute to both experimental prototyping and production-grade systems that integrate generative AI, machine learning, and cloud-native architectures. The position involves hands-on development of solutions such as LLM-based applications, agentic frameworks, and intelligent classification systems. You will also help accelerate AI adoption across teams by evaluating tools, improving workflows, and enabling scalable data science practices. This is a high-impact opportunity to shape the future of applied AI within a complex, real-world enterprise ecosystem.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist Senior in the United States.
This role sits at the intersection of advanced analytics, artificial intelligence, and large-scale enterprise modernization, supporting mission-critical government programs through data-driven innovation. You will design, build, and deploy AI/ML solutions that transform how organizations leverage data for decision-making, automation, and operational intelligence. Working in a highly collaborative environment, you will contribute to both experimental prototyping and production-grade systems that integrate generative AI, machine learning, and cloud-native architectures. The position involves hands-on development of solutions such as LLM-based applications, agentic frameworks, and intelligent classification systems. You will also help accelerate AI adoption across teams by evaluating tools, improving workflows, and enabling scalable data science practices. This is a high-impact opportunity to shape the future of applied AI within a complex, real-world enterprise ecosystem.
