Senior Data Scientist - Palantir Foundry (TS/SCI)

aermor; Washington (District of Columbia); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Professional development opportunities

Job summary

AERMOR in Washington, DC seeks a Senior Data Scientist to support mission-critical national security analytics, enterprise data platforms, and decision support. You will independently lead advanced analytics, collaborate across teams, and deliver scalable solutions that enhance mission readiness and situational awareness.

Responsibilities include developing workflows, dashboards, ML models, data governance, and executive-ready reports; mentoring junior staff; and integrating multi-source data

Qualifications

• Master's degree in a technical discipline preferred.
• Minimum 10 years of professional experience in data science or analytics.
• Current Palantir Foundry Application Developer Certification is required.

Responsibilities

• Develop, implement, and sustain enterprise analytical workflows for Mission Assurance.
• Configure Palantir Foundry to support data integration, analytics, visualization, reporting, and decision support.
• Design, develop, and maintain dashboards, models, visualizations, and executive-level reports.

Skills

Data science leadership

Statistical analysis

Machine learning

Data visualization

Executive briefing

Stakeholder communication

Education

Master's degree in Data Science

Tools

Palantir Foundry

Python

SQL

Job description

AERMOR in Washington, DC seeks a Senior Data Scientist to support mission-critical national security analytics, enterprise data platforms, and decision support. You will independently lead advanced analytics, collaborate across teams, and deliver scalable solutions that enhance mission readiness and situational awareness.

Responsibilities include developing workflows, dashboards, ML models, data governance, and executive-ready reports; mentoring junior staff; and integrating multi-source data