All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.OverviewDSA 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.
LocationTampa, 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
Desired Qualifications- 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
- Experience supporting advanced AI experimentation or operational analytics capabilities in mission environments with constrained infrastructure, distributed users, or disconnected operations
- Experience leading AI/ML experimentation, modeling, and simulation efforts in support of mission use cases
- Experience integrating analytics and AI capabilities into operational systems and workflows
- Experience with data visualization tools and techniques for communicating complex insights to senior leaders
- Experience working in cloud, hybrid, or distributed computing environments supporting data and analytics platforms
- Familiarity with DevSecOps practices and collaboration with engineering teams to deploy analytics solutions
- Experience operating in high-tempo environments with rapidly evolving mission priorities
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