Data Scientist

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. We are a dual-use technology platform that supports both DoD and commercial customers.

Responsibilities

• Lead end-to-end data heavy projects from problem framing through deployment and measurement
• Identify and connect to new sources of unstructured and semi-structured data
• Build and maintain reporting pipelines and dashboards for stakeholders
• Design and analyze experiments including A/B testing and causal inference
• Develop scalable datasets, metrics, and analytical frameworks
• Apply AI-assisted workflows to enrich, normalize, and classify unstructured data
• Partner with Product and Engineering to operationalize models and insights
• Mentor junior and mid-level data practitioners

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, or Analytics
• Strong proficiency in Python and SQL
• Experience working with unstructured or semi-structured data
• Experience with experimentation, statistical analysis, and predictive modeling
• Ability to build dashboards and reporting layers
• Active user of AI tools for data workflows
• Experience working cross-functionally with Product and Engineering teams

Preferred Qualifications

• Background in manufacturing, defense, aerospace, or industrial sectors
• 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 Snowflake, Databricks, AWS, or GCP
• Experience in a Series A/B startup environment