Senior Palantir Foundry Data Scientist — Production ML & Pipelines

Prana Comunicación; United States; Remote; USD 120,000 - 130,000; Full time

Job summary

IPT Associates (IPTA) is seeking a senior data scientist to join the Palantir Foundry Army Vantage team in the United States. You will turn migrated Army data into production analytics and decision-support workflows, shaping an impactful roadmap from use case to deployment.

You will develop, validate, and operationalize ML models in Foundry, design ontologies and data structures, and lead production pipelines while collaborating with engineers and domain experts to deliver scalable solutions.

Qualifications

• Bachelor's degree in CS, Data Science, Statistics, or related field.
• 10+ years in data science, analytics, or data architecture with Palantir Foundry.
• Expertise in statistical analysis, ML, and production model development in Python.
• Proven Palantir Foundry data pipeline and ontology experience.
• Willingness to travel for client work and strong leadership ability.

Responsibilities

• Serve as senior data scientist on Palantir Foundry Army Vantage team.
• Translate customer objectives into actionable roadmaps and prototypes.
• Develop and operationalize ML models in Foundry for decision support.
• Design data models, ontologies, and data structures for analytics.
• Build and maintain production-grade Foundry pipelines and transforms.
• Collaborate with engineers and domain experts to ship code.

Skills

Palantir Foundry

Python

Data Science

Machine Learning

Data Pipelines

Security clearance

Education

Bachelor's degree

Master's or PhD (preferred)

Tools

Palantir Foundry

SQL

TypeScript

Job description

IPT Associates (IPTA) is seeking a senior data scientist to join the Palantir Foundry Army Vantage team in the United States. You will turn migrated Army data into production analytics and decision-support workflows, shaping an impactful roadmap from use case to deployment.

You will develop, validate, and operationalize ML models in Foundry, design ontologies and data structures, and lead production pipelines while collaborating with engineers and domain experts to deliver scalable solutions.