Scientist Jobs

About The Position

Requirements

• Active Secret clearance with ability to obtain a TS/SCI clearance
• Bachelor’s or Master’s degree in Data Science, Computer Science, or related field.
• Minimum of 5-7 years of experience in data science roles, preferably with military or government projects.
• Familiarity with Army-specific data tools and platforms.
• Certifications in data science, cloud computing, or related fields.

Nice To Haves

• Experience working with cross-functional teams, including military personnel and technical staff.
• Excellent communication skills to translate technical concepts into actionable strategies.
• Understanding of Army security protocols and compliance requirements for handling sensitive data.
• Ability to ensure data integrity and security within Vantage systems.
• Familiarity and experience with DOD IL4, IL5, and IL6 cloud environments and data exchange via CDS.

Responsibilities

• Proficiency in data science tools, programming languages (Python, R, SQL, Palantir Ontology, Palantir Data Marketplace), and frameworks.
• Experience with building and integrating APIs into Army Vantage and other Army or DOD Platforms.
• Deep understanding in API orchestration and policy considerations within DOD/Army and proven operational implementation track record of deploying APIs and integrating automated data pipelines Army and vendor platforms (examples: AESMP, Army 365, DISA circuit utilization, Netops Tools, Splunk, First Alert).
• Familiarity with Army data systems and protocols for API integration across Army platforms.
• Proven ability to design, develop, and optimize Vantage environments for machine learning, predictive data analysis and visualization.
• Knowledge of data architecture and infrastructure required for Vantage systems.
• Strong skills in data analysis, statistical modeling, and machine learning techniques.
• Familiarity and proven track record of deploying ensemble predictive ML models, neural networks, LLM vectorization and customization.
• Ability to interpret complex datasets and provide actionable insights.

Benefits

• flexible time off benefit
• robust learning resources
• competitive compensation
• benefits and learning and development opportunities
• comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.