Not specified; commensurate with job duties + rele...
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Active ts/sci security clearance required
10+ years data science experience
5+ years applied ai leadership
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Maximus is seeking a Chief Data Scientist to lead a large-scale digital, data, and AI program for the Department of Defense. The ideal candidate will have extensive experience in data science and AI/ML, with a strong focus on operational environments and a current TS/SCI security clearance.
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Job Summary
This role serves as the senior technical authority for data science and AI, shaping strategy aligned with enterprise and Responsible AI policies.
The position requires an active TS/SCI security clearance and involves onsite work to lead advanced analytics and AI/ML capabilities for the Department of War.
Candidates must have extensive experience working in Special Operations Forces (SOF) environments, including managing distributed data support teams at HQ echelon.
Matching Summary
Match Score: 75
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Maximus is seeking a Chief Data Scientist to lead a large-scale digital, data, and AI program for the Department of Defense. The ideal candidate will have extensive experience in data science and AI/ML, with a strong focus on operational environments and a current TS/SCI security clearance.
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Salary
Not specified; commensurate with job duties and relevant work experience; includes short- and long-term incentives and program-specific awards
Skills & Requirements
Must-have
Active TS/SCI security clearance required
10+ years data science experience
5+ years applied AI leadership
SOF analytical support experience
Responsible AI compliance expertise
LLM and RAG modeling knowledge
Nice-to-have
PhD in Data Science or related field
Experience supporting DOW customers
Multi-enclave environment operation
Strong storytelling for non-technical leaders
International travel availability
Key Requirements
Bachelor's degree required; Master's or PhD preferred
10+ years total experience in data science and analytics
5+ years experience in SOF analytical support
3+ years centrally managing distributed data teams in SOF organizations