Senior Data Scientist / Engineer

Janson•Killeen, TX

4d•Onsite

About The Position

The Senior Data Scientist / Engineer leads analytics delivery, instructional design, and technical mentorship for Army Vantage enablement, serving as the primary integrator between operational needs, analytics solutions, and training delivery. The role supports Army Vantage training and analytics in classified and unclassified environments and requires the ability to obtain and maintain a U.S. Government security clearance, which requires U.S. citizenship. Candidates without an active clearance may perform unclassified preparatory work while clearance processing is underway. This onsite position at Fort Hood leads prototype-level predictive analytics and dashboard delivery, develops reusable analytics patterns and instructional analytics products, and provides technical mentorship. It also designs and delivers Army Vantage-specific training for defined USAREUR-AF personas, including executives, staff, analysts, and ORSAs. The role ensures training materials and demonstrations reflect Army Vantage workflows, permissions, classification, data lineage, version control, collaboration, and reuse. The position supports organizational change and adoption objectives, reviews training content, and uses after-action review feedback to improve subsequent training.

Requirements

Master’s degree in Computer Science, Data Science, Engineering, Operations Research, Information Systems, or a related technical field.
3–6 years of experience in analytics, data engineering, software development, or operational research.
At least 2 years delivering analytics or data products using an enterprise analytics platform, such as Palantir Foundry, Army Vantage, Databricks, Snowflake, or a cloud-based analytics platform.
Strong proficiency in Python and SQL.
Experience developing dashboards, data pipelines, or analytical workflows that support operational decision-making.
Demonstrated experience teaching, mentoring, or leading technical personnel, or delivering structured training.
Ability to obtain and maintain a U.S. Government security clearance; U.S. citizenship is required for clearance.
Active Secret Security Clearance.
Ability to operate in classified and unclassified environments, including NIPRNet systems.
Strong written and verbal communication skills for military and civilian interaction.
Willingness to travel up to 10% for in-person training and operational support.
Demonstrated ability to learn new tools, workflows, and operational contexts.
Team-oriented and capable of collaborating with diverse Army and contractor personnel.
Ability to work onsite at Fort Hood.

Nice To Haves

Experience using Palantir Foundry or Army Vantage.
Familiarity with version control (Git), data lineage, and reproducibility practices.
Knowledge of PII/PHI handling, DoD security practices, and classification workflows.
Exposure to predictive analytics or statistical modeling.
Experience supporting organizational change, analytics adoption, or analytics enablement initiatives.

Responsibilities

Lead delivery of prototype-level predictive analytics and dashboards.
Serve as primary instructor for ORSA-level and advanced analytics training.
Guide development of reusable analytics patterns and standards.
Mentor mid-level and junior personnel.
Ensure analytics products are instructional, reusable, and sustainment-ready.
Design and oversee delivery of Army Vantage-specific training curricula aligned to defined USAREUR-AF personas, including executives, staff, analysts, and ORSAs.
Serve as lead instructor for advanced training events, including ORSA training and executive-level courses.
Ensure training materials emphasize Army Vantage workflows, permissions, classification, and reuse rather than generic analytics tools.
Review and approve training content developed by mid-level and junior staff for technical accuracy and instructional quality.
Lead development of instructional analytics products, ensuring dashboards, workflows, and predictive analytics are suitable as teaching exemplars.
Guide incorporation of data lineage, version control, and collaborative development practices into training demonstrations.
Mentor mid-level personnel on instructional techniques, classroom delivery, and facilitation of Army training events.
Serve as primary technical advisor supporting Data program design and execution.
Ensure training events support organizational change objectives and reinforce adoption milestones outlined in the SOW.
Lead after-action reviews for training events and incorporate feedback into subsequent deliveries.