AI/ML Engineer & Data Management Specialist (Journeyman)

Synectic Solutions Inc•Patuxent River, MD

2d•$118,900 - $130,800•Onsite

About The Position

Synectic Solutions is seeking an AI/ML Engineer & Data Management Specialist (Journeyman) to support the Combat Survivability Division’s Low Observables (LO) Life Cycle Management (LCM) mission at NAS Patuxent River in Lexington Park, MD. This role combines advanced data science, artificial intelligence, machine learning, and comprehensive data management responsibilities to strengthen LO sustainment performance across multi-level security environments. This is an in-person on-site position at NAS Patuxent River and is not eligible for telework. Anticipated Travel requirements are less than 10%.

Requirements

U.S. Citizen with an Active TS with SAP eligibility required.
Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
At least three (3) years of recent and relevant experience in data science, analytics, or data management.
Demonstrated experience delivering results in multi-level security environments.
Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.

Nice To Haves

Direct experience supporting ACAT‑level programs.
Advanced degree in a relevant discipline.
Direct experience working with defense, aerospace, or government technical/programmatic data.
Experience with Python, R, SQL, or similar languages for data manipulation and analysis.
Experience automating data workflows or data management tasks using scripting languages or workflow automation tools.
Demonstrated experience managing and maintaining large datasets in technical or programmatic environments.

Responsibilities

Effectively and efficiently operate and communicate across multi-level security environments.
Coordinate, gather, clean, and integrate technical and programmatic data from multiple program and project offices.
Work closely with data management specialists to structure, maintain, and ensure the integrity of large, complex, multi-source datasets.
Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses, business case analyses, and readiness assessments.
Develop and refine prompts to optimize the performance and relevance of AI‑generated outputs for project needs.
Build, validate, and interpret predictive models to assess LO sustainment performance, forecast readiness trends, and identify capability or resource gaps.
Manage, maintain, and optimize relational and/or non-relational databases to ensure data availability, reliability, and performance.
Design, implement, and manage Extract-Transform-Load (ETL) processes, validation routines, and data quality checks to maintain high data integrity.
Create clear, concise data visualizations, summaries, and technical reports to communicate findings to engineers, logisticians, and leadership.
Ensure all data management and analysis activities comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.