Data Systems Analysts, Inc.
DataScience&AnalyticsTechnicalLead(SOCOM)
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Science & Analytics Technical Lead (SOCOM) at Data Systems Analysts, Inc.. Skills: Data science, Analytics, AI. Provide technical leadership for design, development, and delivery. Lead end-to-end lifecycle for analytics and AI capabilities”
What You'll Achieve.
Generate mission-relevant insight; Support operational planning, targeting, and decision advantage; Ensure capabilities move from prototype to mission use; Assess feasibility, mission utility, scalability, and transition potential; Communicate analytic results clearly and effectively; Align with operational needs
Industry & Context.
Problem framing; Feasibility assessments; Suitability assessments
CONUS and OCONUS travel required, Active TS/SCI clearance, Operate effectively across classified, distributed, and mission-critical environments
What They're Looking For.
Must Have
Active TS/SCI clearance, Bachelor's or Master's degree, 10+ years of experience in data science, analytics, or AI/ML development, 5+ years of experience leading data science or analytics teams, 5+ years of experience providing analytical support to SOF mission environments, Experience supporting SOF Enterprise organizations, Experience centrally managing or leading distributed technical teams, Demonstrated experience delivering analytics and AI solutions, Experience applying advanced analytics techniques, Experience working with large, complex, multi-source data sets, Programming experience in Python and/or R, Experience with relevant machine learning frameworks, Demonstrated ability to lead analytics and AI efforts
Nice to Have
3+ years of experience managing or supporting SOF digital capabilities, 3+ years of experience supporting SOF HQ elements, Experience supporting advanced AI experimentation, Experience leading AI/ML experimentation, modeling, and simulation efforts, Experience integrating analytics and AI capabilities into operational systems, Experience with data visualization tools and techniques, Experience working in cloud, hybrid, or distributed computing environments, Familiarity with DevSecOps practices, Experience operating in high-tempo environments
What You'll Do.
Provide technical leadership for design
Lead end-to-end lifecycle for analytics and AI capabilities
and prescriptive analytics
Translate complex data and analytical outputs into actionable
operational deployment
Lead advanced AI experimentation
and evaluation efforts
Design and develop data visualization solutions
Collaborate with engineering
Embed AI-enabled capabilities into production systems
Lead and mentor cross functional teams
Provide technical direction and execution oversight
Establish and enforce standards for model governance
Support development of enterprise analytics capabilities
Design and test analytics and AI-enabled solutions
Account for operational constraints
Conduct feasibility and suitability assessments for analytics and
Operate effectively across classified
and mission-critical environments
Engage and brief senior government leadership on analytic
How You'll Work.
Team & Collaboration
Cross functional teams; Engineering, platform, and mission teams; SOF stakeholders and end users; Senior government leadership
Communication Scope
Brief senior government leadership; Communicate analytic results
Full Job Description
All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution. Overview 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 environmen
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