Sustainment

Data Scientist

Austin, Texas, United States · Mid · Contract

No sponsorshipDetected 43 days ago

PythonSQLSnowflakeDatabricksVector DatabasesAWSGCPMachine LearningData ScienceNLPLLMsMLOpsStatisticsA/B TestingCybersecurity

About the role

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.
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.

collecting it, making sense of it when it's messy and unstructured, building models that drive product and business decisions, and owning high-impact analytics end-to-end.
Lead end-to-end data heavy projects through product, growth, operations, and customer experience; from problem framing through deployment and measurement
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
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

[REQUIRED] 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
Experience with experimentation, statistical analysis, and predictive modeling
Familiarity with production ML systems and modern data tooling
Experience working cross-functionally with Product and Engineering teams
Candidates must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance.

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 working in a Series A/B startup environment
Sustainment is proud to be an equal opportunity employer.
Sustainment participates in E-Verify.

We are a dual-use technology platform that supports both DoD and commercial customers in pursuit of our vision.
You're equally comfortable wrangling real-world data as you are designing experiments, building predictive models, and working with others to deploy data driven Machine Learning systems.
Develop and document data collection strategies and thinking systematically about coverage, quality, and freshness across Sustainment's data assets

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

This listing is sourced directly from Sustainment's careers page and normalized into a canonical job model.