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About the Role

Sustainment is seeking a Data Scientist to operate at the frontier of data, responsible for collecting, structuring, modeling, and driving product and business decisions through high-impact analytics. This role blends data science and data strategy, requiring comfort with real-world data, experiment design, predictive modeling, and deploying machine learning systems.

Responsibilities

• Lead end-to-end data-heavy projects through product, growth, operations, and customer experience, 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 think 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 standards by identifying gaps and driving enrichment initiatives.
• Mentor junior and mid-level data practitioners and help shape data quality, governance, and experimentation best practices.
• Present findings and recommendations to cross-functional stakeholders and produce strategy documents that inform quarterly prioritization.

Requirements

• Must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance.
• 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role.
• Strong proficiency in Python and SQL.
• Demonstrated experience working with unstructured or semi-structured data.
• Experience with experimentation, statistical analysis, and predictive modeling.
• Comfortable building dashboards and reporting layers.
• Active user of AI tools (Claude, ChatGPT, or similar) for data workflows.
• Familiarity with production ML systems and modern data tooling.
• Business intuition with the ability to connect analysis to outcomes and ask strategic questions about data coverage, quality, and collection.
• Experience working cross-functionally with Product and Engineering teams.
• Background in or adjacent to manufacturing, defense, aerospace, or industrial sectors (strong preference).
• Experience with NLP, entity resolution, or AI-assisted classification pipelines.
• Exposure to vector databases or semantic search concepts.
• Experience with LLMs or Generative AI applications.
• Familiarity with modern cloud and data platforms (Snowflake, Databricks, AWS, GCP).
• Experience building self-serve analytics or experimentation platforms.
• Experience working in a Series A/B startup environment.
• Applicants must be authorized to work for ANY employer in the U.S.
• Unable to sponsor or take over sponsorship of an employment Visa at this time.

Skills

• Python
• SQL
• Experimentation
• Statistical Analysis
• Predictive Modeling
• Dashboarding
• Reporting
• AI tools (Claude, ChatGPT, or similar)
• Production ML systems
• Modern data tooling
• NLP
• Entity resolution
• AI-assisted classification pipelines
• Vector databases
• Semantic search concepts
• LLMs
• Generative AI applications
• Cloud platforms (Snowflake, Databricks, AWS, GCP)

Location

• U.S. based

Work Type

• Full-time

Experience Level

• 4+ years of experience

Benefits

• Medical
• Dental
• Vision
• Paid time off
• Company holidays
• 401K matching

About the Company

• 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.

Equal Opportunity

• Sustainment is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.
• Sustainment participates in E-Verify.