DataScientist

Company Overview: Sustainment is an AI-native software platform that helps US-based manufacturers easily find and work with the critical suppliers they need to build and manage their supply chains. Our vision is to reimagine American manufacturing as a hyperconnected, secure, and resilient ecosystem of local and regional suppliers who can more easily connect, interact, and do business with the industry and government customers that rely on them. We are a dual-use technology platform that supports both DoD and commercial customers in pursuit of our vision. CLEARANCE REQUIREMENT: Candidates must be eligible to obtain and maintain a U. S. Secret or Top Secret security clearance. This is a non-negotiable, hard requirement driven by our Department of War contractor obligations. Candidates who are not eligible will not be considered for this role. Job Overview: Sustainment is scaling fast. Our engineering team has grown significantly and our delivery surface spans commercial SaaS product development and government-funded R from problem framing through deployment and measurement Identify, evaluate, and connect to new sources of unstructured and semi-structured data relevant to U. S. manufacturing Build and maintain reporting pipelines and dashboards that translate raw data into clear analytics for stakeholders Design and analyze experiments including A/B testing, causal inference, and uplift analysis Develop scalable datasets, metrics, and analytical frameworks Develop and document data collection strategies and thinking systematically about coverage, quality, and freshness across Sustainment’s data assets Apply AI-assisted workflows to enrich, normalize, and classify unstructured data Partner with Product and Engineering to operationalize models, software, and insights Collaborate with product and engineering to tie data quality directly to product outcomes: match rates, recommendation precision, and profile completeness Maintain and improve Sustainment’s data quality sta