Data Science & Analytics Technical Lead (SOCOM)

About the role

DSA is seeking a Data Science & Analytics Technical Lead to support SOCOM in advancing enterprise data, analytics, and AI capabilities. This role serves as the senior technical authority for data science and AI-enabled solution delivery, leading the design, transition, and sustainment of mission-focused capabilities across the SOF enterprise. Location Tampa, FL (MacDill AFB) CONUS and OCONUS travel required

Responsibilities

• Provide technical leadership for the design, development, and delivery of data science, analytics, and AI capabilities across the SOF enterprise, supporting HQ Staff, Service Components, and Theater Special Operations Commands
• Lead the end-to-end lifecycle for analytics and AI capabilities, from problem framing and model development through deployment, user adoption, performance measurement, and sustainment
• Apply descriptive, diagnostic, predictive, and prescriptive analytics to structured and unstructured data to generate mission-relevant insight for operators and decision-makers
• Translate complex data and analytical outputs into actionable intelligence that supports operational planning, targeting, and decision advantage
• Lead development, testing, operational deployment, and sustainment of AI and analytics solutions, ensuring capabilities move from prototype to mission use in operational environments
• Lead advanced AI experimentation, modeling, and evaluation efforts to assess feasibility, mission utility, scalability, and transition potential for emerging analytic solutions
• Design and develop data visualization solutions that communicate analytic results clearly and effectively to technical and non-technical stakeholders
• Collaborate with engineering, platform, and mission teams to operationalize analytics and embed AI-enabled capabilities into production systems, mission workflows, and existing SOF analytic environments
• Lead and mentor cross functional teams spanning data science, engineering, platform, and mission stakeholders, providing technical direction and execution oversight across multiple efforts and locations
• Establish and enforce standards for model governance, reproducibility, documentation, and lifecycle management
• Support development of enterprise analytics capabilities aligned with SOCOM data strategies, governance frameworks, and security requirements
• Design and test analytics and AI-enabled solutions in collaboration with SOF stakeholders and end users, ensuring alignment with operational needs
• Account for operational constraints such as limited bandwidth, disconnected environments, and contested conditions when designing and deploying analytics solutions
• Conduct feasibility and suitability assessments for analytics and AI use cases, including performance expectations, scalability, and sustainment considerations
• Operate effectively across classified, distributed, and mission-critical environments
• Engage and brief senior government leadership on analytic outcomes, technical tradeoffs, risks, and mission impact, translating complex AI and analytics work into recommendations
• Required Qualifications
• Active TS/SCI clearance
• Bachelor's or Master's degree in Data Science , Computer Science, Applied Mathematics, Statistics, or a related technical field
• 10+ years of experience in data science, analytics, or AI/ML development
• 5+ years of experience leading data science or analytics teams within DoD, IC, or SOF environments
• 5+ years of experience providing analytical support to SOF mission environments
• Experience supporting SOF Enterprise organizations, including SOCOM HQ, TSOCs, and Service Component Commands
• Experience centrally managing or leading distributed technical teams across multiple organizations or locations
• Demonstrated experience delivering analytics and AI solutions from concept through operational deployment, user adoption, and sustained mission use
• Experience applying advanced analytics techniques, including predictive modeling, machine learning, and statistical analysis, to mission data
• Experience working with large, complex, multi-source data sets in operational or mission environments
• Strong programming experience in Python and/or R and experience with relevant machine learning frameworks
• Demonstrated ability to lead analytics and AI efforts in mission-critical environments with rapidly evolving priorities, compressed timelines, and changing operational requirements
• Proven ability to mentor technical teams, guide solution development in ambiguous environments, and raise the quality and consistency of analytics and AI delivery across multiple efforts

Requirements

• 3+ years of experience managing or supporting SOF digital capabilities or enterprise analytics initiatives
• 3+ years of experience supporting SOF HQ elements, Service Components, or Theater Special Operations Commands

Additional Information

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.

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