Senior Data Scientist

General Dynamics Information Technology

. Apply AI and machine learning knowledge to build actionable solutions .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $111,155 - $150,385 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI and machine learning, with a strong focus on developing actionable solutions and integrating AI into various platforms. Proficient in client relationship management and translating technical requirements for diverse stakeholders.

Highest-signal resume keywords

AI/ML ExpertiseGenerative AIData Science Best PracticesCloud Services AIClient Relationship Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData IntegrationData MigrationData AnalysisData VisualizationPrototypingTechnical ImplementationAI Security FeaturesLLMsAgent-Based AI

Soft Skills

ConsultationCollaborationInfluencingRequirements GatheringTechnical Translation

Tools & Technologies

Cloud ServicesAI PlatformsData ServicesGenerative AI ToolsRAGMCP

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

AI WorkstreamsCyber Software IntegrationMission SoftwareGovernment Background ScreeningU.S. Residency

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Apply AI and machine learning knowledge to build actionable solutions
Develop compelling briefings and proposal materials for diverse clientele
Influence research and development investments, technical proposals and presentations
Plan and execute prototyping and technical implementations
Provide professional consultation to external clients and internal stakeholders
Support implementation of Agentic AI workstreams and platforms
Support implementation of AI Security features and platforms
Collaborate with Cyber and Mission Software teams to integrate AI into missions
Support development of new capabilities
Utilize LLMs, Generative AI, RAG, Agents, MCP and related AI methods

Requirements

What you’ll need

5+ years of related experience
5+ years of relevant experience reviewing and interpreting application data
2+ years of experience utilizing AI
Bachelor’s degree in computer science or related technical discipline preferred but not required
If no relevant college degree, an additional 4 years of relevant work experience is required
Expertise in AI/ML, Generative AI, and Agent-based AI
Expertise in data science and data engineering best practices, tools, and techniques
Experience with Cloud Services AI and Data Services
Experience with data integration, data migration, analysis and visualization
Experience in client relationship management and requirements gathering
Ability to translate technical requirements for client and internal stakeholders
Ability to obtain and maintain a Public Trust clearance
Successful completion of a thorough Government background screening process, including detailed forms and fingerprinting
U.S. residency for the last five years, subject to the stated residency rules
U.S. citizenship is not required

Benefits

Comp & perks

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Paid vacation and holidays
Medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
Paid sick and personal time
Paid parental, military, bereavement and jury duty leave
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
Full flex work weeks where possible