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Modeling Specialist Jobs (NOW HIRING)

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design ...

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design ...

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design ...

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design ...

Position Overview DJ&A is seeking a CAD/BIM Modeling Specialist to support project teams in developing accurate 2D and 3D models and producing coordinated construction documents. This role is ...

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Modeling Specialist information

What is the difference between Modeling Specialist vs Data Analyst?

AspectModeling SpecialistData Analyst
Required CredentialsBachelor's degree in statistics, mathematics, or related field; certifications in modeling or analyticsBachelor's degree in data science, statistics, or related field; often similar certifications
Work EnvironmentFinancial institutions, insurance companies, or consulting firms focusing on model developmentBusiness, finance, healthcare, or marketing sectors analyzing data sets
Employer & Industry UsageUsed in industries requiring predictive models and risk assessmentUsed across industries for data interpretation and reporting

The main difference is that Modeling Specialists focus on developing and validating predictive models, while Data Analysts interpret data to support decision-making. Both roles require similar educational backgrounds and certifications, but their daily tasks and industry applications differ.

What jobs will no longer exist in 2030?

Modeling specialists may see reduced demand in traditional fashion and print modeling as digital and virtual alternatives, such as virtual influencers and 3D modeling, become more prevalent. Automation and AI-driven technologies are also expected to impact roles involving manual or repetitive tasks across various industries, potentially reducing the need for certain entry-level or manual jobs. However, new opportunities may emerge in digital content creation and virtual environment design.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that appeals to clients. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps. Having good skin, facial symmetry, and the ability to convey different expressions are important skills for success in face modeling.

Is 25 too old to start modeling?

Modeling specialists and aspiring models can start at various ages, and 25 is not considered too old to begin a modeling career. Success depends on factors like appearance, portfolio, and market niche, with many opportunities available for adult models. Building a strong portfolio and networking are key steps regardless of age.

What is the highest paid modeling job?

The highest paid modeling jobs typically include high-fashion runway models, luxury brand ambassadors, and celebrity endorsers, with top-tier models earning millions annually through contracts, campaigns, and endorsements. Success in these roles often requires extensive experience, a strong portfolio, and industry connections.

What are some typical challenges a Modeling Specialist faces when collaborating with cross-functional teams?

Modeling Specialists often collaborate with engineers, designers, and analysts to develop accurate and functional models. A common challenge is ensuring clear communication of complex technical details to team members with varying levels of modeling expertise. Additionally, aligning modeling outputs with project goals and accommodating feedback from multiple stakeholders can require strong organizational and interpersonal skills. Successfully navigating these challenges helps ensure models are both technically sound and practically applicable to the project’s needs.

What are the key skills and qualifications needed to thrive as a Modeling Specialist, and why are they important?

To thrive as a Modeling Specialist, you need strong analytical skills, proficiency in mathematics or statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Familiarity with modeling software such as MATLAB, R, Python, or specialized financial and statistical tools is essential, and certifications like CFA or FRM can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting findings clearly. These skills and qualifications ensure accurate model development, risk assessment, and actionable insights, which are vital for informed decision-making in various industries.

What does a Modeling Specialist do?

A Modeling Specialist is responsible for creating, analyzing, and refining mathematical or computer-based models to simulate real-world systems, such as financial markets, engineering projects, or scientific phenomena. Their work often involves collecting data, building models using specialized software, and interpreting the results to support decision-making or research. Modeling Specialists may work in industries like finance, engineering, environmental science, or data analytics, and their expertise helps organizations predict outcomes and optimize processes.
More about Modeling Specialist jobs
Infographic showing various Modeling Specialist job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 10% Part Time, and 22% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.
AI Modeling Specialist (Senior)

AI Modeling Specialist (Senior)

Pae

Fort George G Meade, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

*This position is contingent upon contract award*

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations.

As an AI Modeling Specialist (Senior) you will have the opportunity to:

  • Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
  • Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
  • Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
  • Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
  • Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
  • Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
  • Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
  • Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
  • Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
  • Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Required Qualifications:

  • Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance.
  • Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies)
  • Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments
  • Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets
  • Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent)
  • Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models
  • Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets
  • Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers
  • Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments

Preferred Qualifications:

  • Advanced degree (MS or PhD) in AI, machine learning, data science, or related field
  • Experience developing AI-enabled automation frameworks or platforms supporting mission workflows
  • Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts
  • Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics
  • Experience supporting cross-CCMD or distributed data environments at scale
  • Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms)
  • Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics
  • Experience working in joint, interagency, or coalition operational environments
  • Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas

Compensation Details:

$120,000 - 170,000

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

06/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.