AI/ML Engineer & Data Management Specialist (Journeyman)

Synectic Solutions Inc•Patuxent River, MD

13d•$118,900 - $130,800•Onsite

About The Position

Synectic Solutions is seeking a Journeyman AI/ML Engineer & Data Management Specialist to support the Combat Survivability Division’s Low Observables (LO) Life Cycle Management (LCM) mission at NAS Patuxent River in Lexington Park, Maryland. The role combines data science, artificial intelligence, machine learning, and data management to support LO sustainment performance across multi-level security environments. It is an in-person, on-site position at NAS Patuxent River and is not eligible for telework. Anticipated travel is less than 10%. The salary range is $150,000–$160,000. The position coordinates and integrates technical and programmatic data, maintains complex datasets and databases, applies AI/ML models and predictive analytics, develops prompts, and communicates findings through visualizations and reports. Data activities must comply with DoD/NAVAIR security, privacy, and regulatory requirements. Synectic Solutions, Inc. (SSI) describes its workplace culture as upbeat and positive, with an emphasis on continuously improving performance, enhancing agency missions, expanding employee and company opportunities, exceeding customer expectations, and upholding high standards and ethics. SSI is an award-winning, 20-year government contracting agency focused on logistics, engineering, management, and information technology.

Requirements

U.S. citizenship and an active TS clearance with SAP eligibility.
Accredited bachelor's degree in a relevant field such as data science, analytics, data management, or information technology.
At least three 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 using AI 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 ETL processes, including data migration between systems.
Ability to create clear, concise, and actionable data visualizations using 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 multidisciplinary 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

Operate and communicate effectively across multi-level security environments.
Coordinate, gather, clean, and integrate technical and programmatic data from multiple program and project offices.
Work with data management specialists to structure and maintain large, complex, multi-source datasets and ensure their integrity.
Apply AI and machine learning models, such as CAPRA and GenAI, to support gap analyses, business case analyses, and readiness assessments.
Develop and refine prompts to improve 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 for data availability, reliability, and performance.
Design, implement, and manage ETL processes, validation routines, and data quality checks.
Create clear, concise data visualizations, summaries, and technical reports for engineers, logisticians, and leadership.
Ensure data management and analysis comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.